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Charles Tiayon
June 16, 3:23 AM
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One of the everyday challenges of police work is the language barrier Sheriff’s Office implements language translation tech “Obviously, there are non-English speakers in our area and this greatly assists us with being able to effectively communicate with them.” One of the everyday challenges of police work is the language barrier. Officers often have to use translation services online or work with an interpreter to communicate. However, this can take considerable time. Earlier this month, the Pinellas County Sheriff’s Office announced that it is now implementing an artificial intelligence-based language translation software. Team members can access the tool through their body worn cameras. It is already being utilized for investigations, traffic stops and community events. The law enforcement agency’s team has access to 57 languages (with English being the base): Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese and Welsh. “We’re always consistently looking for new and innovative ways to improve our public safety,” said PCSO traffic sergeant John Mullins. “Obviously, there are non-English speakers in our area and this greatly assists us with being able to effectively communicate with them.” Since the technology is artificial intelligence-based, it has an accuracy rate of 90 to 95%. He added that the PCSO began a 90-day trial in November 2025 to “make sure things are functional and that it was actually beneficial.” The participating deputies provided feedback that was “overwhelmingly positive.” “Everyone who had access to it and used it in the field during the trial period spoke nothing but good things about how it bridged the barrier,” Mullins explained. The Sheriff’s Office received access to the tool through a partnership with public safety technology company Axon, which manufactures the agency’s body cameras. It is available to all certified law enforcement deputies in the field and at the Pinellas County Jail. Bailiffs at the county’s courthouses also have access to the technology. Additionally, multiple civilian team members at the Pinellas County Jail, including probation officers and medics, can utilize the software. The Hillsborough County Sheriff’s Office and the Tampa Police Department have been utilizing artificial intelligence-based language translation technology as well. He said that there are many benefits to using the new system. Officers can “quickly and effectively communicate with people in emergency situations.” Additionally, the technology “drastically reduces the wait time in trying to get someone who speaks that language to the scene or potentially waiting on the phone on a language line.” PCSO team members can access vital information firsthand and alert other responding units if necessary. Mullins explained that the software can also “reduce frustration with the citizen, allowing for “a much more fluid and natural conversation.” They can communicate with officers in real time without a delay. These individuals, he added, are “usually not going through their happiest hour.” More languages will be added over time as Axon expands the technology. According to the PCSO, deputies have reported two languages that are not represented: Creole and Albanian."
Michael Connor
June 15, 2026 https://stpetecatalyst.com/sheriffs-office-implements-language-translation-tech/
#metaglossia
#metaglossia_mundus
"Many languages recycle words, giving them different meanings. For example, in English, "run" can mean to move quickly but also to manage something, like "run a company." In Spanish, "lengua" is both the word for tongue and language, as in "la lengua española." This type of word reuse is known as colexification.
But there is another type of recycling, and that is partial colexification, where languages reuse only parts of words. A good example is the word "grand," which is shared in "grandfather" and "grandmother." Until now, very little was known about the rules, patterns and how widespread this type of recycling is across different languages.
A new study published in the journal Nature Human Behaviour explores how different languages systematically reuse these smaller word parts while balancing efficiency with the need to keep meanings distinct. Barend Beekhuizen at the Department of Language Studies at the University of Toronto Mississauga in Canada has published a News & Views piece on the research in the same journal.
A linguistic tug-of-war
Before setting out on their study, the research team hypothesized that there is a constant tug-of-war between two opposing forces that shape how meanings are mapped to words. They are lexical compression (reusing words to keep things as simple as possible) and lexical differentiation (using different forms to help distinguish meanings). Language can reuse forms for related meanings, but excessive reuse can make meanings harder to distinguish.
The study authors examined a massive linguistic database called Lexibank, which contains word lists from many languages. They studied data from more than 1,900 languages spanning 192 different language families.
To see how these two forces operate in the real world, the researchers used two tools. First, to measure how closely related two ideas are in human memory, they used data from a word-association game in which thousands of people were given a word and asked to say the first thing that came to mind.
Second, they used AI computer models to analyze millions of sentences and measure how similar the contexts of different words are. This gave them a way to estimate how easily two meanings might be confused if they shared the same form.
Making life easier
The team discovered that reusing word parts is not random and occurs across many different language families. Full word reuse happens when one word is used for more than one closely related meaning that people can easily tell apart, such as "mouth" (used for a body part and the opening of a river).
Partial word reuse is a middle-ground compromise. It occurs when two ideas are highly related but frequently pop up in similar contexts. In these cases, language reuses parts of words with related meanings to make things easier, but keeps the words slightly different to avoid mix-ups. As the researchers note in their paper, "partial colexification appears to arise as a middle-ground strategy when full colexification risks ambiguity in overlapping contexts."
An example predicted by the researchers' model is "fourteen" and "ten." They are closely related numbers, but since they are used in similar situations, giving them the exact same names would create confusion. Instead, languages may favor forms that share some material while remaining distinct.
The study authors say future studies could explore whether the same balance between efficiency and clarity helps shape other parts of language, such as grammar.
Written for you by our author Paul Arnold, edited by Gaby Clark, and fact-checked and reviewed by Robert Egan—this article is the result of careful human work. We rely on readers like you to keep independent science journalism alive. If this reporting matters to you, please consider a donation (especially monthly). You'll get an ad-free account as a thank-you."
Jun 22, 2026
How languages recycle parts of words to avoid confusion
by Paul Arnold, Phys.org
edited by Gaby Clark, reviewed by Robert Egan
Colexification patterns. Credit: Nature Human Behaviour (2026). DOI: 10.1038/s41562-026-02488-3
https://phys.org/news/2026-06-languages-recycle-words.html
#metaglossia
#metaglossia_mundus
"The bill would see English recognised as an official language alongside Te Reo Māori and New Zealand Sign Language.
Unlike Te Reo Māori and New Zealand Sign Language the English language currently has de facto official language status, meaning it's widely used and accepted as an official language but its status is not set in legislation.
The proposed legislation is part of the coalition agreement between National and New Zealand First.
The committee received written submissions from 1601 people and groups, and heard from 22 submitters in oral hearings about the bill.
Supporters said the bill posed little harm, would remove confusion and allay concerns that English is being treated differently from other official languages.
Almost two-thirds of submitters opposed the bill, on the grounds it was a waste of time, undermined Te Reo Māori and New Zealand Sign Language and risked stoking division.
Opposition parties were highly critical of the move.
The Labour Party said it risked complicating a straightforward situation because English is already an official language through custom and usage in New Zealand.
"Legislation for Te Reo Māori and NZ Sign Language was and is necessary to recognise both of these important and significant languages that are, despite revitalisation and education efforts, still only used by a minority of the population. English does not need the same support to ensure its survival," it said.
"This bill, in practice, changes nothing. It is a waste of time, and offensive to those who fought hard to make Te Reo Māori an official language in 1987 and NZ Sign Language an official language in 2006."
The Green Party said that, in general, an official language status is provided to protect languages under threat in order to put a spotlight on the need to protect and resource their survival and revival.
"Submitters have also raised concerns that by legislating English as a de jure language it would have unintended consequences, such as the risk to social cohesion and increased likelihood of racism in Aotearoa New Zealand, as has been seen in the United States," it said.
"Instead of using Parliament time to address the more urgent needs of our communities in the midst of a cost of living crisis and fuel crisis, this bill is a frivolous and petty issue for this Government to take forward."
'Committee didn't agree with that'
The chair of the Justice Select Committee Andrew Bayly has rejected suggestions the bill would undermine Te Reo Māori or New Zealand Sign Language.
"The committee didn't agree with that.
"Those other official languages already have bespoke legislation and there was no way that this was an attempt to undermine them. It was just recognising that English is commonly used in New Zealand, it's a common language of the government and that's why the commitee agreed to leave the bill as it was introduced."
https://www.rnz.co.nz/news/politics/633090/english-language-bill-no-changes-suggested-by-justice-select-committee
#metaglossia
#metaglossia_mundus
"It took nearly 2,000 years to translate the Bible into 400 languages. The next 400 took just 28 years. As the Bible reaches its 800th language, Wycliffe Bible Translators’ Jeremy Weightman explores the remarkable acceleration in Bible translation - and the immense task that still lies ahead for the 1.5 billion people without scripture in their own language
It had never occured to me.
Week after week, for years, I had turned up to church meetings with my Bible in my hand. I’d spent time in my secret place, reading passages from my Bible. Originally it was the King James, then the Good News and Living versions, before the NIV became my go-to. And that is how it has stayed – with occasional forays into The Message or some of the many other versions in English.
I took it for granted that I have all these options for reading the Bible in English – the language that speaks to my heart the most.
It never occurred to me that if I had spoken another language (such as Nobonob in Papua New Guinea) I’d have no choice – there would only be one translation available.
It never occurred to me that if my heart language was, say, Bunong (Cambodia), I wouldn’t have the complete Bible at all. Or even, like the Kinuku people of Nigeria, none of God’s word in my language.
But that’s the reality for 1 in 5 people worldwide. They don’t have the whole Bible in their heart language.
A shocking injustice
I only discovered this when I started to work for Wycliffe Bible Translators, in 2018.
Once I began working for Wycliffe my worldview was turned upside down. Around 1.5 billion people do not have the Bible in their language, I was told. That shocked me. Why didn’t I know this? How could this injustice exist? Why was I able to have God’s word in multiple translations in my language, while so many had none?
Since that eye-opening moment, I’ve had the privilege of reporting on the tireless work of Bible translation teams worldwide. They faithfully serve their communities, translating the word of God into their own languages. They’re in for the long haul – translating the New Testament can take 8–10 years, the Old Testament a further 10–12. Or more. There are no easy solutions or quick fixes. It’s painstaking, detailed work where accuracy is vital.
But there is good news! The work of Bible translation is accelerating at an unprecedented rate – so let me share the latest exciting news with you!
The 800th
In 2020 we celebrated the major milestone of the translation of the Bible into its 700th language.
Then, last week, we celebrated the Bible in its 800th language! In itself, an extraordinary moment for Bible translation.
But when I began looking deeper, I realised just how much progress has been made in recent years:
The number of languages that have the whole Bible translated has doubled since 1998
It took over 1,900 years to translate the Bible into 400 languages, but just 28 years for next 400 languages to get the Bible
500 million more people have access to the complete Bible in their language now than in 2020
We can’t pick out the actual 800th – many recent translations are in digital form only. However, we can celebrate a representative, such as the Koma Bible, which was launched in Ghana in 2024 after 37 years’ work.
Sylvester Kwame Nkrumah said at the launch: “We have seen the impact that having the scriptures in the language the Koma speak has had on their community. As the Koma Church has grown confident in using the scriptures in their own language, so people have been transformed.”
Lives transformed by having God’s word in your heart language – that’s what this is all about. Lives like Abraham, a Gamo speaker I met in Ethiopia (pictured, right). Born into a voodoo family with a father who was a shaman, Abraham was expected to follow in his father’s footsteps. But then he read God’s word in his Gamo language, and his life was never the same again. He told me: “Having the Bible in my language brought me from darkness to light.” Now he’s a strong and vital member of his local church.
Hitting the accelerator
There has been extraordinary acceleration in translating the Bible into new languages. This has been possible through the far greater involvement of Bible translation teams from the communities, plus increased prayers and giving of supporters, and advances in technology.
The acceleration means communities are receiving the Bible far sooner than seemed possible only a generation ago. As churches engage with the scriptures in their own languages, they are better equipped for evangelism, discipleship and ministry. Lives are transformed; communities and cultures are changed.
The 800th Bible is an astounding feat worthy of celebration, but with well over 7,000 languages in the world, there is still much to do. The good news is that the rate of progress is increasing dramatically.
So next time you open your Bible and read God’s word in your language, take a moment to thank God for those who laboured to give it to you. And pray for Bible translators worldwide as they seek to end Bible poverty and ensure their communities can access God’s word in the language that speaks to their hearts.
For more about Bible translation, and how you can get involved, visit wycliffe.org.uk
Jeremy Weightman is the Communications Specialist for Wycliffe Bible
https://www.premierchristianity.com/opinion/good-news-the-bible-has-just-been-translated-into-its-800th-language/21757.article
#metaglossia
#metaglossia_mundus
"The link between confusing instructions and product returns
Data: How language quality affects return rates
Setup guides, FAQs, and error messages as causes of returns
Calculating the cost of bad translation vs. better localization
How to reduce returns through better multilingual UX
Frequently asked questions
Consumer electronics manufacturers frequently discover a frustrating pattern. A flawless product launches internationally, only to see return rates soar in specific regional markets. The hardware is identical across borders, and the software functions perfectly. The failure point often lies entirely in the documentation and interface language. Poorly translated setup guides, confusing error messages, and inaccurate support portals create artificial friction that leads directly to product returns.
Key takeaways
Tech product return translation quality directly correlates with profitability, as linguistic errors in manuals often masquerade as hardware defects.
TranslationOS provides a centralized hub that synchronizes global assets, preventing inconsistent terminology across digital and physical touchpoints.
Purpose-built AI models deliver superior context awareness for technical documentation compared to generic alternatives.
Time to Edit (TTE) serves as the new measure of first-pass translation quality, measuring the exact efficiency gains of enterprise-grade localization.
The link between confusing instructions and product returns
Buyers abandon complex devices when they cannot understand how to operate them. A consumer purchasing a smart home hub expects clear, immediate guidance during the unboxing process. If the initial setup guide contains awkward phrasing or mistranslated technical terms, the user automatically assumes the product itself is flawed. This friction quickly transforms a localization error into a measurable financial loss for the company.
When international customers encounter product return translation errors, their frustration bypasses customer support and goes straight to the return desk. A mistranslated step in a quick-start guide can make a simple pairing process feel impossible. The customer does not blame the translator for this failure; they blame the brand. Providing an intuitive, native-language experience is a baseline requirement for consumer electronics localization quality.
How hardware defects mask linguistic failures
Retailers process millions of dollars in returns annually for defective items that actually operate perfectly under factory testing. The defect was entirely linguistic, not mechanical. When users cannot decipher the intended meaning of an app interface or an instruction manual, they lose trust in the device entirely. They pack the item back into its box and demand a refund.
Hardware teams often spend months troubleshooting non-existent engineering problems based on customer return data. In reality, the issue stems from a disconnect between the engineering intent and the localized instructions. A single mistranslated technical specification can lead users to operate the device incorrectly, resulting in perceived failures. Fixing the translation is significantly cheaper than redesigning the hardware.
Data: How language quality affects return rates
Analyzing the financial impact of bad translation causes returns reveals a stark reality for global brands. Every returned product carries compounding costs, including reverse logistics, restocking fees, and potential refurbishing expenses. These costs quickly erode profit margins in new international markets. Companies must track the correlation between language quality and regional return rates to understand their true operational efficiency.
Enterprises tracking the ROI of localization clearly see this correlation in their quarterly metrics. Measuring translation efficiency requires objective, data-driven standards rather than subjective reviews. Industry leaders now rely on advanced metrics to quantify the accuracy of their multilingual content before it reaches the consumer. This proactive approach prevents costly post-launch corrections and protects brand reputation.
Using Time to Edit for predictive quality analysis
Time to Edit (TTE), the average time a professional translator spends editing a machine-translated segment to bring it to human quality, is the new metric for machine translation quality and translation process efficiency. Lower TTE scores indicate highly accurate, context-aware translations. This metric provides a reliable leading indicator of content quality before manuals go to print.
When TTE scores are consistently low, brands can confidently ship products knowing the localized instructions are clear and precise. High TTE scores, conversely, signal that the machine translation struggled with the technical terminology. Identifying these issues early allows human experts to intervene and correct the text, preventing user confusion and subsequent product returns.
Tracking TTE across different languages helps companies identify specific markets where their terminology might be causing friction. If the TTE spikes for the German translation of a user manual, localization teams can focus their resources there. This targeted approach ensures that translation budgets are spent effectively to minimize user frustration in high-risk regions.
Setup guides, FAQs, and error messages as causes of returns
A user’s journey relies heavily on supporting documentation at every stage of product ownership. Setup guides establish the critical first impression when a customer opens the box. If a user cannot progress past the initial configuration due to a poorly localized instruction, the device is useless to them. They will likely return it.
Beyond the initial setup, customers frequently turn to online resources for troubleshooting. FAQs designed to deflect support tickets fail entirely if the answers use the wrong technical terminology. A user searching for a solution to a connectivity issue needs precise, accurate language to resolve the problem. Inaccurate translations in support portals only amplify customer frustration and accelerate the return process.
The high cost of inconsistent digital support
Error messages represent another major vulnerability in the multilingual user experience. An opaque or poorly translated error code provides no actionable path for the user to fix a minor issue. Instead of attempting to troubleshoot the problem, the confused user simply boxes the product back up. Clear, contextually accurate error messages are essential for retaining customers during moments of technical difficulty.
Discrepancies between printed materials and digital interfaces create further confusion. If the physical manual refers to a feature using one term, but the mobile app uses a different translated word, the user is left guessing. Website translation services ensure that online troubleshooting portals remain consistent with the physical documentation, providing a unified support experience.
Maintaining consistency across all these touchpoints requires a strategic approach to enterprise language operations. Brands must view localization as an integrated system rather than a series of isolated translation tasks. When setup guides, FAQs, and error messages speak with a single, clear voice, product return rates naturally decrease.
Calculating the cost of bad translation vs. better localization
The expense of processing a single returned electronic device far exceeds the cost of localizing its documentation correctly. Companies must factor in reverse logistics, restocking fees, product depreciation, and permanent customer churn. When compared against these compounding losses, investing in enterprise-grade localization yields a clear, immediate ROI. The math strongly supports prioritizing language quality from the beginning.
Many organizations mistakenly attempt to save money by using generic machine translation tools for technical documentation. These generic systems are trained on broad web data and lack an understanding of specific industry terminology. The resulting translations are often technically inaccurate and stylistically awkward. This approach ultimately costs the company more in product returns and damaged brand equity.
Why context-aware models outperform generic alternatives
Generic language tools cannot handle the specificity required for complex technical consumer goods. They translate sentence-by-sentence, often losing the broader meaning of an instruction manual. Lara, our purpose-built, context-aware LLM for translation, is designed precisely for these complex scenarios. Lara maintains full-document context, ensuring that technical terms remain accurate and consistent across hundreds of pages.
By analyzing the entire document at once, Lara understands how different instructions relate to one another. This deep contextual awareness prevents the contradictory translations that often plague technical manuals. When human experts review Lara’s output, they spend less time correcting basic terminology and more time refining the final style. This symbiotic approach delivers superior quality at scale.
Investing in advanced, context-aware translation AI is a strategic business decision, not just an operational expense. The initial investment in high-quality localization is quickly offset by the reduction in customer support tickets and product returns. Brands that prioritize clear, accurate communication in every language gain a significant competitive advantage in global markets.
How to reduce returns through better multilingual UX
Preventing language-driven returns requires treating localization as a core component of the user experience. Technical writing and translation must happen in parallel, ensuring that all regional markets receive the same level of clarity. Treating translation as an afterthought guarantees inconsistent quality and frustrated international customers. The goal is human-AI symbiosis, where AI handles the scale and human experts ensure technical precision.
Establishing a robust terminology management system is essential for maintaining consistency across global product launches. Companies must define their core technical terms and ensure these definitions are applied uniformly across all languages. This proactive terminology management prevents the confusing discrepancies that lead users to abandon products. It builds trust and ensures a smooth user journey from unboxing to daily operation.
Implementing a centralized language operation
Managing this process globally requires the right infrastructure and strategic oversight. TranslationOS acts as a centralized, transparent AI service delivery platform for enterprise language operations. It synchronizes global assets and prevents brand drift, ensuring that the terminology on the box matches the app interface exactly. This centralized approach provides complete visibility into the localization process for every product line.
By using a centralized platform, global teams can collaborate effectively and maintain strict quality control standards. Updates to a product manual in one language can be quickly and accurately reflected across all other localized versions. Consistent custom localization solutions eliminate the friction that causes users to return perfectly good products. They transform international expansion from a logistical challenge into a reliable revenue stream.
Ultimately, successful global product launches depend on clear, accurate communication. When brands invest in enterprise-grade localization technology and expert human oversight, they remove the language barriers that cause customer frustration. Reducing linguistic errors directly reduces product return rates, protecting profit margins and building lasting loyalty in international markets.
If your organization might benefit from the support of an experienced strategic partner for localization, contact Translated to explore the possibilities.
Frequently asked questions
How does translation quality directly cause product returns?
When technical instructions or error messages are mistranslated, users often cannot operate the device. They perceive this linguistic failure as a hardware or software defect and return the product out of frustration.
What is Time to Edit (TTE) and why does it matter?
TTE is the average time (in seconds) a professional translator spends editing a machine-translated segment to bring it to human quality. It is the new measure of translation quality, serving as a precise metric for efficiency and accuracy in localization workflows.
Why are generic language models insufficient for tech product localization?
Generic models translate sentence-by-sentence, often losing the specific technical context of an instruction manual. Purpose-built translation AI maintains full-document context, ensuring accurate terminology across complex technical guides.
What role does a centralized management hub play in reducing returns?
A platform like TranslationOS ensures that all localized assets (from physical manuals to digital interfaces and support websites) use consistent terminology. This prevents user confusion and brand drift across different touchpoints.
Daniele Patrioli
Daniele Patrioli is the VP of Marketing at Translated, responsible for driving strategic growth initiatives to enhance brand visibility, demand generation, and customer acquisition in the global language services market. Outside of work, Daniele enjoys hiking and mountain biking, often exploring the outdoors with his two children, Lorenzo and Matteo."
https://translated.com/resources/why-tech-product-returns-spike-when-translations-are-bad
#metaglossia
#metaglossia_mundus
"782 Years After Paris Burned the Talmud, the Steinsaltz Translation Brings It Back to France
To mark an historic occasion of completing the full French translation of the "Steinsaltz Babylonian Talmud" volumes, his son Rabbi Meni Even-Israel explains the French connection
In a festive event held this week at the residence of Israeli President Isaac Herzog, the completion of the French translation of all volumes of the Babylonian Talmud with the commentary of the late Rabbi Adin Even-Israel Steinsaltz zt"l was celebrated, with the support of the Patrick and Lina Drahi Foundation under the management of Amalia Zarqa.
Rabbi Steinsaltz's son and president of the Steinsaltz Institutions in Israel, Rabbi Meni Even-Israel, shared the unique family connection between his father's lifelong Torah enterprise and the French language in a special interview with JFeed: "French is the third most spoken language in the world and is considered the language of intellectuals, and on a personal note, France is also the birthplace of my late mother," revealed Rabbi Even-Israel.
A Date That Says Everything
The date chosen for this special event was no accident. The 9th of Tammuz marks 782 years since the burning of the Talmud in Paris in the year 1242, when thousands of Talmud volumes were set ablaze by order of King Louis IX.
The launching of the late Rabbi Steinsaltz's elucidated Babylonian Talmud specifically in French on this day serves as a definitive answer and a living testament to the fire of Torah burning within the souls of Jews studying all over the world, despite persecution and antisemitism throughout the generations.
Rabbi Even-Israel described the workflow behind translating his father's lifelong work, the unique method of reviving the Talmudic debate and its sages in the commentary, noting that his father "saw the Talmudic sages Abaye and Rava alive in his mind's eye." He also revealed the next major initiative of the Steinsaltz Institutions: translating Rabbi Steinsaltz's books on the world of Hasidism into English and other languages.
The French translation of the Steinsaltz Babylonian Talmud marks another significant milestone in spreading the light of Torah to the entire world.
For centuries, studying the Babylonian Talmud, known as Gemara, required years of yeshiva training and a teacher to guide you through its dense Aramaic text, cryptic abbreviations, and compressed legal debate. Most Jews never accessed it directly at all.
Rabbi Adin Even-Israel Steinsaltz changed that.
His landmark elucidated edition of the Talmud, decades in the making, did something revolutionary: it restored the vowels to the Aramaic text, added punctuation, translated difficult words inline, and provided running commentary in plain modern Hebrew, making the page readable for the first time to anyone with basic Jewish literacy. He famously said he wanted the Talmud to be as accessible as a newspaper.
The impact was seismic. Learners who had been locked out of the primary text of Jewish law and thought could now open a page of Gemara and begin. Study groups multiplied. Ba'alei teshuva, Jews returning to observance, found an entry point. Daf Yomi participants, who complete the entire Talmud on a seven-and-a-half-year daily study cycle, increasingly turned to the Steinsaltz edition as their primary text.
When the Steinsaltz Talmud was completed in English in 2020, it marked the first time the full Babylonian Talmud had been translated into English with such depth of commentary. The French translation, now complete, carries that same mission into a new language, and a new generation."
Ariel Sharfer
JUN 25, 2026 18:43
https://www.jfeed.com/jewish-world/steinsaltz-talmud-french-translation
#metaglossia
#metaglossia_mundus
"...Sanas is advancing its speech AIgʻ platform with expanded Universal Accent Translation and Language Translation capabilities.
Universal Accent Translation continues to enable bi-directional accent transformation that preserves tone and expression in real time.
Building on that foundation, Language Translation now supports more than 30 languages with automatic language detection and low latency in live environments. While many providers rely on third-party models, Sanas builds and deploys its own speech technologies, enabling greater control over performance and a more consistent experience.
A New Layer of Speech Intelligence
Sanas is introducing Speech Intelligence, allowing teams to surface risks, identify trends and monitor compliance while conversations are still underway. The offering includes real-time sentiment detection, fraud and abuse signals, compliance monitoring and PII redaction.
Speech is analyzed in real time, enabling teams to identify compliance risks, operational issues and emerging trends while interactions are still in progress. Processing happens on-device, allowing teams to generate insights without exposing sensitive information to external systems or introducing additional risk.
This is particularly critical in environments such as healthcare and financial services, where data sensitivity can limit the ability to act on live interactions.
"If you are only analyzing conversations after they end, you are missing the moment where outcomes can change," said Shawn Zhang, CTO and Co-founder of Sanas. "Our focus has been improving speech in real time so every system that depends on it starts with a cleaner and more reliable signal."
Sanas for Individuals and Small Businesses
Built for complex customer operations, Sanas is bringing its technology beyond the contact center through a new self-service experience designed for individuals and small businesses.
Users can access Sanas directly, test capabilities in live environments and evaluate performance without navigating lengthy procurement cycles. By reducing barriers to entry, Sanas makes it easier to deploy and scale speech AI across more applications.
Introducing the Sanas Developer Platform
Teams can now build directly on the Sanas platform through a new developer experience and SDK, enabling integration of its real-time speech technologies into applications, products and workflows. Whether supporting customer communications, collaboration tools, AI applications or entirely new experiences, developers can embed Sanas directly into the environments where speech happens.
By starting with a cleaner and more reliable signal, organizations can reduce transcription errors and improve overall system performance. Sanas integrates into existing systems without requiring new workflows, retraining or infrastructure changes."
https://www.prnewswire.com/news-releases/sanas-reaffirms-commitment-to-universal-accent-translation-expands-language-translation-to-30-languages-and-opens-its-platform-to-developers-and-small-businesses-302807214.html
#metaglossia
#metaglossia_mundus
"The article presents a comparative study of Inuit circumpolar literature and its translations into major colonial and other languages, marking a significant contribution to the field. It highlights the work of Greenlandic writer Niviaq Korneliussen, analyzing her original text alongside its English translation to uncover colonial and postcolonial stereotypes in the translations. Additionally, the article examines the Naukan (Nuvuqaq) poetry of Zoia Nenliumkina, discussing her efforts to preserve her native language and the impact of her correspondence with the author on the analysis of her poetry's translations into multiple languages. This study sheds light on the complexities of translation within the context of Indigenous literature. [Extracted from the article]"
Authored By: Bell, Elena S. 3 of 3
Authored By:
Bell, Elena S.
https://www.ebsco.com/articles/literature-and-writing/b805694f-5ac4-573b-bfb6-01d48770aee2/introduction-translating-inuit-circumpolar-literature
#metaglossia
#metaglossia_mundus
"RWS wins "Machine Translation Solution of Year" award for third year running
Latest AI Breakthrough win underscores RWS's leadership and innovation in enterprise AI translation
MAIDENHEAD, England, June 25, 2026 /PRNewswire/ -- RWS (AIM: RWS.L), a global AI solutions company, has won "Machine Translation Solution of the Year" at the 9th annual AI Breakthrough Awards for Language Weaver Pro – the latest sign of its accelerating momentum in enterprise AI translation.
Language Weaver Pro is RWS's most advanced AI translation solution. Built in partnership with Cohere, the 100+ billion parameter model is purpose-trained for translation and engineered to help enterprises and government organizations translate business-critical content with greater accuracy, fluency and security.
Launched in early 2026, Language Weaver Pro is purpose-built to handle context, ambiguity and complex content – including high-end marketing and creative copy. In both human-led and automated benchmarking, it outperformed competitors across sentence- and paragraph-level datasets spanning technical and marketing content.
"I couldn't be prouder of what the team has achieved with Language Weaver Pro," said Ben Faes, CEO of RWS. "Working with Cohere's scientists and our own linguists, we've created our most advanced translation model yet – and embedded it into a product that enterprises can actually run at scale, without runaway costs or the hallucinations that come with general-purpose AI."
Language Weaver Pro is also integrated across the Trados portfolio, putting advanced AI translation directly into the tools linguists and organizations already use throughout the localization process.
"Translation is one of the original AI applications, and yet it remains one of the few categories where the best consumer-grade output still falls short in the regulated, brand-sensitive environments that most enterprises actually operate in," said Steve Johansson, Managing Director, AI Breakthrough. "RWS has built Language Weaver Pro to operate in exactly those environments, with a large language model purpose-built for translation, embedded linguistic expertise and the deployment flexibility that enterprises require."
Language Weaver Pro sits at the heart of RWS's Language Intelligence capability, combining multilingual AI models, RWS's linguistic expertise and secure language technology – giving organizations the accuracy, adaptability and governance to act on multilingual content in the most complex global environments.
This year's AI Breakthrough Awards attracted the strongest field in their near-decade history, with thousands of nominations from more than 20 countries across categories spanning Agentic AI, Generative AI, Computer Vision, AIOps, Robotics and Natural Language Processing – making RWS's third consecutive win all the more significant.
Learn more about Language Weaver Pro.
About us
RWS is a global AI solutions company empowering the world's most trusted enterprise AI.
Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand's tone, context and customer values.
Through our Generate, Transform and Protect segments, we deliver intelligent content, enterprise knowledge, large-scale localization and IP protection for global growth. Trusted by 80+ of the world's top 100 brands, RWS provides the confidence, governance and expertise organizations need to deploy AI safely, responsibly and at scale.
Headquartered in the UK, RWS is listed on AIM."
https://www.prnewswire.com/news-releases/rws-wins-machine-translation-solution-of-year-award-for-third-year-running-302810823.html
#metaglossia
#metaglossia_mundus
"The Future of Translation Services in the U.S.: Why ‘Location-Based’ No Longer Means Local
So, if you had to get a document translated for a visa or immigration application, you would search your local area – maybe a notary who did translations on a part-time basis, maybe a bilingual professional in the community. The nearness seemed to be a stand-in for reliability. This conviction has been unshaken, in a way. Not because the quality of local translators has decreased, but because the definitions of ‘accessible’ and ‘trustworthy’ have grown – and geography can no longer keep up. The U.S. translation services market has restructured itself beyond the zip code, and USCIS applicant translations have become a more significant part of the business.
I’ve spent considerable time watching this shift unfold, and what’s most striking isn’t the technology behind it. It’s the change in what people expect. When I look at how immigrants and visa applicants are actually making decisions today, the pattern is clear: they’re not asking “who’s closest?” They’re asking “who’s most reliable, fastest, and most likely to get this right the first time?” In that context, platforms like RapidTranslate.org/locations have gained real traction not by being local to any single city, but by being consistently reachable from every city simultaneously.
How the Old System Worked, and Why It Broke
The traditional translation model wasn’t built on competence. It was built on logistics. Before cloud-based document handling became routine, you genuinely needed someone physically present. Physical stamps, wet signatures, and in-person handoffs made proximity a functional necessity, not a preference. A certified translator in Chicago couldn’t efficiently serve a client in Albuquerque when everything had to move by mail or scheduled appointment.
This created something that looked like a market but functioned more like a lottery. If you lived in a large metro area with a substantial immigrant population, you had real choices. If you lived somewhere smaller, your access to qualified, USCIS-familiar translators might be limited to two or three providers – none of whom necessarily specialized in your specific language pair or document category. The quality of your translated documents ended up depending heavily on where you happened to live, which is a strange basis for something as consequential as a federal immigration application.
What USCIS Requires, and What It Doesn’t
Here’s what often surprises people: USCIS imposes no geographic requirement on translators whatsoever. What it does require is specific. Any foreign-language document submitted with an application must include:
A complete English translation of the entire document.
A signed certification from the translator.
A declaration of competency in both languages.
A statement confirming the translation is accurate to the best of their knowledge.
The agency does not require the translator to hold a license, pass a government exam, or operate from any particular state. Selecting a provider based on physical proximity, when none of these standards reference location at all, means optimizing for something with zero bearing on whether your application advances or lands in a Request for Evidence.
The Completeness Standard Most Applicants Underestimate
The most common reason certified translations get flagged isn’t a meaning-level error. It’s a completeness problem. USCIS requires that every element of the source document appear in the English version: official seals, stamps, headers, margin annotations, everything. A birth certificate that omits a municipal seal or leaves a government heading untranslated will draw scrutiny regardless of how precise the name and date fields are. Missing a single structural element is enough to trigger a delay that can stretch across months.
The Standardization Advantage Local Providers Can’t Easily Match
When a translation service handles thousands of USCIS-bound documents per month, formatting stops being a judgment call and becomes institutional. The certification statement reads consistently, the layout mirrors what federal reviewers are accustomed to seeing, and edge cases: documents with multiple embedded languages, deteriorated stamps, and handwritten notations get resolved through established internal workflows rather than improvised on the spot.
A freelance translator – even a deeply skilled one – builds their process from personal habit. There’s no external compliance system enforcing that their certification statement matches current USCIS formatting expectations or that their layout of a foreign civil registry document aligns with what reviewers at a particular service center have come to expect. That’s not an indictment of individual capability; it’s simply the structural reality of solo work operating without an institutional framework behind it.
Why Consistency Translates Directly to Faster Approvals
Larger platforms that concentrate specifically on certified translation for federal submissions maintain internal style guides mapped directly to USCIS requirements. The practical differences show up clearly:
A client in Miami and a client in Seattle receive identically formatted documents.
Certification statements follow the same structure across every single order.
Non-standard cases are resolved by established protocol, not on-the-spot judgment.
That uniformity carries real weight when the agency processing your application handles millions of filings annually and has limited bandwidth for documents that require a second look. A document that mirrors what reviewers already expect to see moves through the process with considerably less friction.
Speed and Accessibility in 2026
The last argument that genuinely favored local providers was turnaround time. Walk in, hand over the document, and return the next day. That edge has effectively disappeared. Most established online translation services now deliver standard certified documents within 24 to 48 hours, with expedited options when deadlines press harder. The entire workflow – uploading the source material, receiving the certified translation, downloading the finished document – happens without a physical visit or office-hours constraint.
Conclusion
For applicants managing immigration timelines, this is practical, not philosophical. Visa appointment dates don’t flex, application windows close on schedule, and biometrics appointments aren’t forgiving. Having access to certified translation at midnight, from a rural area, without coordinating anyone’s availability, is no longer a differentiating feature. It’s simply what applicants now expect as a baseline.
What the market has absorbed by mid-2026 is that “local” was never the real point. Qualified, consistent, and fast – those were always the criteria that mattered. It just took the industry a while to figure out how to deliver all three without a storefront."
by Staff
June 24th, 2026
https://triad-city-beat.com/the-future-of-translation-services-in-the-u-s-why-location-based-no-longer-means-local/
#metaglossia
#metaglossia_mundus
"The complete translation project of the Talmud was launched at the residence of the President in the presence of President Herzog and businessman and philanthropist Patrick Drahi
In a ceremony at the President's Residence in Jerusalem on Wednesday, Israel marked the completion and publication of the first full French translation of the Babylonian Talmud. The project is based on the landmark commentary of the late Rabbi Adin Even-Israel Steinsaltz and funded by the Patrick and Lina Drahi Foundation.
The date was not chosen by coincidence. The ceremony fell on the 9th of Tammuz, exactly 782 years after the Paris Disputation of 1242, which ended with King Louis IX ordering the burning of thousands of Talmud volumes and Jewish manuscripts in the city's public square. Marking the launch on that same date was a deliberate act of historical closure.
President Isaac Herzog, who hosted the event alongside businessman and philanthropist Patrick Drahi, called the translation "a gateway to making the Talmud accessible to the entire world." The project is expected to open Talmudic study to millions of French speakers across France, Belgium, North Africa, Canada, and Israel's own French-speaking immigrant community.
The translation builds on Rabbi Steinsaltz's pioneering method, developed over nearly five decades and guided by his conviction that "the Torah is the inheritance of every Jew." Steinsaltz restructured the traditional page layout, divided the text into paragraphs, vocalized the Aramaic, and added scientific, historical, and biographical commentary, making the Talmud's dense Amoraic discussions accessible to the modern reader. He passed away in 2020, having received the Israel Prize for his work.
Drahi, whose foundation financed the project, reflected on what the Talmud's culture of debate might offer the wider world: "Dispute is an inseparable part of the Talmud, and in the Talmud it leads to mutual enrichment. I hope this edition will also contribute to our ability to listen to the voice of the other."
Rabbi Meni Even-Israel, the rabbi's son and CEO of the Steinsaltz Center, framed the publication in broader terms: "Today's event marks the continuity and eternity of the Torah of Israel and the people of Israel."
Disclosure: The Drahi family, which leads the Patrick and Lina Drahi Foundation, owns i24NEWS"
i24NEWS
2 min read
June 25, 2026 at 10:27 AM
latest revision June 25, 2026 at 10:26 AM
https://www.i24news.tv/en/news/international/culture/artc-the-first-complete-french-translation-of-the-talmud-is-complete
#metaglossia
#metaglossia_mundus
"Jurisdictions increasingly expect their offices to provide multilingual services in spite of resource constraints.
Artificial intelligence
Diversity and Inclusion
Public Engagement
A new Washington law that went into effect this month calls for state leaders to create standardized language access guidelines in a bid to enhance the government’s service delivery.
The Washington bill, signed into law by Gov. Bob Ferguson in March, directs the state’s Office of Equity to develop guidelines for agencies to ensure the consistent and effective delivery of state-administered content, such as written, verbal, virtual or recorded communications.
A similar effort is underway in California after lawmakers passed a bill late last year that aims to enhance the public’s access to and participation in state and local legislative meetings. Starting July 1, for example, agencies must offer multilingual translation services for public meeting agendas and other communications.
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The bills reflect a longstanding priority among state and local leaders across the U.S. to expand language accessibility, including translating real-time events or written content, for increasingly diverse communities. But the cost and difficulty of hiring human interpreters presents major challenges to many jurisdictions hoping to help residents better understand critical announcements, public meetings and other resources.
Artificial intelligence has been touted as a solution to optimize translations for government settings, said Suresh Venkatasubramanian, director of Brown University’s Center for Tech Responsibility. But the technology should not be treated as a blanket solution to language accessibility.
Wisconsin policymakers, for instance, introduced legislation last year that would have allowed state and local organizations to permit the use of AI translation tools instead of human interpreters in courtrooms. The bill, which received pushback from observers concerned that AI interpretations were not suitable for replacing human knowledge and judgement, died earlier this year after it failed to pass both chambers.
But recent survey findings suggest growing confidence in AI-powered translation tools among professionals who manage meetings and events. The data, based on more than 200 respondents, found that nearly 95% of professionals agreed that AI translation solutions are easier and more affordable than human interpreters. At the same time, nearly 80% of respondents said the share of non-English speakers is increasing at events.
The report, commissioned by software company Wordly and conducted by Dimensional Research, also found that 66% prefer AI-powered translations and only 25% said they still prefer human interpreters.
Those findings are particularly valuable for state and local leaders who may have been hesitant to use AI for translation services thus far, said Dave Deasy, chief marketing officer of Wordly.
As more jurisdictions deploy AI tools to translate communication during public meetings, public safety broadcasts and other events, “we have found with a lot of communities, as they have started to offer more language support, they’re actually getting more [community] participation,” Deasy said.
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That means more individuals can, for instance, better understand and comply with policy changes to benefit programs they’re enrolled in, developments in immigration enforcement laws or participate in feedback opportunities like public comment periods, Deasy said.
While language accessibility and inclusivity is a vital function of government, AI-based solutions to language gaps should not come at the cost of responsible adoption, testing and implementation of the technology, Venkatasubramanian said.
“Serving a population is not just about the cheapest way to do it, but the most efficacious way to do it,” he said. For instance, the common argument for AI translation tools is their potential to reduce expenses for hiring and retaining human interpreters, which could be tempting for governments already facing limited funding and staff capacity, he explained.
Realistically, state and local leaders should prepare to spend the appropriate money and time to vet AI translation services from vendors and ensure outputs are accurate and relevant to local community needs, Venkatasubramanian said.
He suggested governments and agencies looking to adopt AI translation tools to start with temporary contracts that enable them to pilot such services. This approach can also help government leaders exercise more leverage to customize and evaluate AI tools based on their unique needs, he said.
Jurisdictions often have specific terms for their geographic locations, department titles, documents and other government-affiliated language, and officials must ensure a proposed AI model can address and maintain such specificities across languages, he explained. That is where an AI product that worked for one city may be less effective for another, making it crucial for state and local leaders to conduct their own evaluations of such solutions.
Venkatasubramanian also underscored the value of human interpreters as part of the process of adopting and deploying translation tools. While AI-powered translations are relatively accurate and successful for one-on-one conversations, like between locals and tourists, government-based use cases require heightened scrutiny when a resident’s safety and well-being could be on the line.
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Indeed, human interpreters can be especially valuable when it comes to assessing the accuracy and validity of AI-powered translations, as they can better understand nuances and sentimental differences between languages, Minnesota officials said at Code for America’s 2026 Summit last month in Chicago.
During a breakout session at the conference, officials for the Minnesota Department of Human Services also shared a framework to help government leaders assess whether or not AI is the right solution to language translation services.
Venkatasubramanian also pointed to Boston as an example of a municipality taking a “very thoughtful and careful” approach to AI’s use in government, including AI-enabled translations. In 2023, city officials released generative AI guidance that directs municipal staff to limit their reliance on the technology for conducting translations.
For instance, users should keep in mind the limitations of the technology because “it is not well documented the extent to which ChatGPT and other models can use other languages,” according to the guidance. The document also encourages users to avoid using content generated in a language they are not familiar with without consulting someone proficient in the language and to ensure AI models can consider different regional dialects within the same language.
Ultimately, an AI translation tool “is going to be much better for you in the long run, if you have a solid [AI] system that is actually tuned to your context,” Venkatasubramanian explained, adding that “you have to do your own due diligence.”"
By Kaitlyn Levinson | June 25, 2026 03:30 PM ET
https://www.route-fifty.com/digital-government/2026/06/ai-translation-tools-require-due-diligence-state-and-local-leaders-expert-says/414436/?oref=rf-homepage-river
#metaglossia
#metaglossia_mundus
"For centuries, people have dreamed of undoing Babel.
Sci-fi novelists envisioned universal translators, and linguists devised international languages, all in pursuit of a world where one person could speak and another could understand, regardless of where either was born.
Artificial intelligence appears to be taking humanity one step closer toward that goal.
AI-powered tools are already being widely used by lawyers to translate legal documents from one language to the next. The mass market romance publisher Harlequin has turned to AI to translate its novels for international audiences. And hospitals are deploying AI translation to communicate directly with patients in multiple languages.
The speed and skill with which these AI-powered translation tools operate are certainly impressive.
But there is an important frontier for translation technology, one that it might never be able to breach: the poem.
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That’s because translating poetry, thus far, has been a uniquely human experience. It demands intimate knowledge of two languages, which large language models certainly possess. But it also requires a mastery of different cultures and perspectives, what literary critic Gayatri Chakravorty Spivak calls a “worlding” of language and culture.
Pushing the limits of language
When scholars have studied the creativity of chatbots by prompting them to produce poetry, they’ve noticed that the poems tend to be more homogeneous and standardized than those written by humans.
Chatbots’ poetry translations have similar issues.
AI seems to struggle in three main areas: rendering metaphor, decoding complex sentence structure and creatively conveying mood or emotion.
To demonstrate these flaws, I worked closely with Adeeba Shahid Talukder, an award-winning poet and translator, to write this piece and to translate the 1953 poem “Mulāqāt,” or “Meeting,” composed by one of the most famous Urdu poets of the 20th century, Faiz Ahmed Faiz.
Pakistani poet Faiz Ahmed Faiz. Wikimedia Commons, CC BY-SA
Faiz was born in 1911 in Sialkot, in pre-Partition India. In 1947, when that area in the Punjab became part of present-day Pakistan, Faiz became a citizen of the newly founded country, though his relationship with it was marked by both hope and disillusionment. He lived in different parts of the world for long stretches of time, but he returned to Pakistan toward the end of his life. He died there in 1984.
His poetry is celebrated for its marriage of classical tropes like the ache of unfulfilled longing for the beloved — and the lover’s willingness to be consumed or destroyed in his pursuit of her — with the political struggles of his time, like the plight of working people and the dream of a Marxist revolution. His poetry is notoriously difficult to translate because of its highly ornate, extended metaphors, which have few easy equivalents in English. This forces the translator – be it human or machine – to push the limits of language.
From 1951 to 1955, Faiz was imprisoned on allegations of sedition against the Pakistani state. His first three months were spent in solitary confinement.
From Faiz’s letters, scholars learned that despite the isolation of his imprisonment, he felt as if the experience made him more attuned to his senses, as if he were “falling in love again for the first time.” His time in jail was also among his most prolific as a poet, with “Meeting” composed during his sentence.
Here’s our translation of the opening verses of “Meeting”:
This night is the dark,
lush tree of a grief greater
than you and I—
greater, for caravans
of torch-bearing stars
have lost themselves
in the siege of its branches;
in its shadow, a thousand moons
have wept away all their light.
This night is the dark,
lush tree of a grief greater
than you and I—
but from the tree of this very night
the amber leaves
of these moments
have fallen,
grown entangled
in your locks and flowered
as the fires of pomegranate
blossoms; its dew
has rained drops of silence
upon your brow,
bedecked it with a silver
string of pearls.
When prompted to provide a “lyrical translation into English,” ChatGPT produced the following:
This night is a tree of pain,
Vaster than you, vaster than me.
Its branches bear
Thousands of torches in place of stars,
Caravans lost
Within a thousand moons’ shadows,
And all my light has wept itself away.
Yet from this very tree,
A few golden leaves of fleeting moments
Fall into your hair,
Entwined, they bloom like roses.
From its dew in quiet,
A few drops rest upon your brow,
And glitter like tiny diamonds.
Chatbots fail at translation’s most basic task
When Faiz composed “Meeting,” he had been separated from his wife and two daughters for two years. He was keenly aware of missing parts of their childhoods that would never return.
This biographical information can help translators understand the poem’s exploration of “vaṣl,” or the meeting of lover and beloved. A common trope in classical Urdu poetry, it usually captures the joy and exultation of the lovers’ union.
But in Faiz’s poem, the union with the beloved also contains an acute awareness of mortality and the transience of beauty – a recognition of what has been lost, and the suffering still to come.
That’s why we rendered the opening lines of “Meeting” as “This night is the dark,/lush tree of a grief greater/than you and I.”
ChatGPT’s translation is more literal: “This night is the tree of pain.”
While there is nothing technically wrong with this translation, the chatbot’s version doesn’t capture the nuances of the tree metaphor and the way its dense, expansive branches can encompass the complexity and beauty of the emotions evoked by the night of the lovers’ union.
AI also fails to grasp the poem’s intricate sentence structure. ChatGPT has translated “in its shadow a thousand moons / have wept away all their light” as a nonsensical construction: “Within a thousand moons’ shadows, / And all my light has wept itself away.”
This error appears to have happened because the chatbot translated “apnā” – a reflexive possessive pronoun in Urdu – as “my,” inaccurately parsing it as referring to the speaker instead of the moons.
Finally, and most importantly, AI models lack the ability to express emotion the way a human can. A machine with no bodily experience of being human cannot meaningfully perceive a poem so enmeshed in human experience. Its engagement is merely superficial.
In its attempt to convey the mood of the original piece, ChatGPT offers: “From its dew in quiet, / A few drops rest upon your brow, / And glitter like tiny diamonds.”
It’s clear that ChatGPT is struggling to decode the grammatical structure of the poem and is trying to make the text lyrical enough to convey the awe and wonder of the original. But the model’s contrivances toward the lyrical – for example, describing diamonds as “tiny” or “glittering” – have no relation to the original poem.
“From its dew in quiet” is an incoherent clause. The phrase that seems to have thrown the model off is “isī kī shabnam se khāmoshī ke yeh cand qaṭre,” or “its dew / has rained drops of silence.”
Urdu literary critic Shamsur Rahman Faruqi has explained how Urdu poets “treat metaphor as fact and then go on to create further metaphors from that fact.” In “Meeting,” the metaphor of the night of the reunion as a tree becomes a fact, which allows for the flowering of a new metaphor – that of the dew on its leaves as drops of silence that fall on the lover and their beloved. These silences, heavy with sorrow, then adorn the beloved like precious jewels, conveying the idea that only a profound grief can beget such beauty.
The model has failed at conjuring this sense of wonder because it cannot parse the poem in accordance with the literary conventions of Urdu poetry.
ChatGPT prefaced its translated text by assuring us that it had “crafted a lyrical, poetic English version of Faiz’s ‘Mulāqāt,’ keeping the imagery, rhythm, and emotional flow intact so it reads like a poem rather than a literal translation.”
Yet as we have shown, its translation fails to accomplish the most basic task of literary translation: to convey the heart of the original.
Chatbots, in other words, are a poor substitute for the literary translator, and they bolster the assertion of the late Indian poet, scholar and translator A.K. Ramanujan that “only poems can translate poems.”
Adeeba Shahid Talukder helped with the research and writing of this article, in addition to the translation of Faiz’s poem."
https://theconversation.com/the-art-of-literary-translation-exposes-the-limits-of-ai-282955
#metaglossia
#metaglossia_mundus
"«Chiche kebab para tutti», «Bee do bee do bee do», «Poulet tikka masala»... Fidèles, irrésistibles et maladroits, les Minions ne parlent pas notre langue, et pourtant, nous comprenons certains de leurs mots.
Et pour cause, d’après Pierre Coffin, le créateur de ces adorables personnages en salopettes bleues et de leur étrange dialecte, il s'agit d’un mélange de français («tu pues des bras», «pignouf»), d’espagnol, d’italien et d’anglais («bello» pour «hello»).
Les Minions utilisent également certains mots japonais («como taki ?» pour «comment ça va?», «kampaï» pour «santé !») et comptent en coréen (hana, dul, set...).
une langue universelle
Dans une même phrase, Pierre Coffin s'amuse à assembler plusieurs mots qui n’ont aucun rapport entre eux et qui sont donc issues de différentes langues, ce qui donne le langage minion, un charabia délirant qui doit quand même coller à l'action et dont on doit comprendre globalement le sens.
Ne soyez donc pas surpris si vous entendez «chipolata», «bido», «poopaye» ou encore le fameux «banana» quand vous vous replongerez dans la franchise, notamment à l'occasion de la sortie du long-métrage «Des minions et des monstres» ce mercredi 24 juin.
D’ailleurs, c’est Pierre Coffin lui-même qui double chaque Minion depuis le premier «Moi Moche et Méchant» (2010), et ce, dans une seule langue pour tous les pays. "
https://www.cnews.fr/culture/2026-06-23/les-minions-quelle-est-cette-langue-etrange-que-parlent-les-celebres-petits
#metaglossia
#metaglossia_mundus
"Mistral met à jour son IA de lecture de documents (OCR) et la pousse vers les manuscrits et les langues rares. Derrière l’outil pour développeurs, l’enjeu est très concret : numériser des montagnes d’archives, jusque dans nos administrations.
Un document n’est pas qu’un bloc de texte parfaitement ordonné, dans un format bien lisible : il a une mise en page, des tableaux, des signatures, parfois une note griffonnée dans la marge ou des caractères devenus illisibles avec le temps. Ces subtilités propres à l’ère du papier qui n’est définitivement pas derrière nous (coucou les expats qui doivent remplir leurs impôts au stylo), c’est exactement ce que Mistral dit vouloir faire comprendre à sa nouvelle IA, OCR 4, présentée le 23 juin 2026. Le français ne se contente plus de transformer une page scannée en texte, il cherche à en restituer la structure.
L’OCR, en pratique, (reconnaissance optique de caractères) existe depuis des décennies et n’a pas eu besoin de l’IA pour se démocratiser. La nouveauté ici tient au niveau de détail. D’après le blog spécialisé MarkTechPost, OCR 4 localise chaque bloc d’une page avec des cadres de détection, le classe par type (titre, tableau, équation, signature) et attribue un score de confiance à chaque mot. Ainsi, le système qui reçoit le résultat sait non seulement ce qui est écrit, mais où ça se trouve et à quel point la machine est sûre d’elle.
Mistral revendique un modèle compact qui prend en charge 170 langues, y compris des langues peu documentées, que la plupart des outils lisent mal, et tourne dans un seul conteneur pour être hébergé en interne. Le tarif est fixé à 4 dollars (environ 3,70 €) pour 1 000 pages, qui tombe à 2 dollars (environ 1,85 €) en mode traitement par lots."
https://www.numerama.com/tech/2283529-mistral-lance-ocr-4-une-ia-capable-de-dechiffrer-les-manuscrits-et-170-langues.html
#metaglossia
#metaglossia_mundus
"English translation brings Filipino novel 'Lumbay ng Dila' to new readers
As Philippine literature slowly gains international visibility, a pressing question emerges: How do stories rooted in specific places travel beyond the archipelago without losing their soul?
For Filipino author and literary scholar Genevieve Asenjo, that journey is taking shape through "Lumbay ng Dila" ("The Melancholy of the Tongue"), her award-winning novel originally written in Filipino and now being translated into English through a Dutch publication initiative.
The project is more than an expansion of readership. It is an opportunity to bring regional Filipino histories into global conversations without stripping away their complexity.
At a time when international audiences are increasingly curious about Philippine literature, Asenjo's work offers an important reminder: there is no singular Filipino story waiting to be discovered. There are many Philippines, each shaped by its own language, geography, and memory.
"Lumbay ng Dila" follows Sadyah Zapanta Lopez, a 28-year-old teacher in Manila whose life is disrupted by a headline from home. Her grandfather, former assemblyman Marcelo Nones Lopez, has been acquitted after a 21-year trial linked to the 1984 Guinsang-an Bridge Massacre.
The verdict revives a question that has haunted her since childhood: What happened to her mother, Teresa Zapanta Lopez, known in the movement as Kumander Rafflesia, who disappeared after the violence and the years of fear that followed?
Drawn back to Barasanan in Dao, Antique, Sadyah attempts to rebuild a life among kin and memory while opening Balay Sugidanun, a home for stories. Her journey takes her between the province and the city, and eventually to Bangkok with her lover, Priya Iyer. Along the way, she assembles documents, testimonies, and fragments of a fractured past.
What begins as a daughter's search for answers gradually expands into a meditation on inheritance and collective memory. The novel asks what happens when communities carry unresolved histories across generations and whether remembering can become a form of repair.
For Philippine literature, translation has never been a purely technical exercise.
The English translation of "Lumbay ng Dila" allows readers outside the Philippines to encounter a story deeply embedded in Antique's cultural landscape while preserving the textures that make it distinct.
Yet every act of translation carries difficult questions. How do you preserve emotional weight when languages hold different histories? How do you translate political memory without reducing its complexity? How do you retain rhythms and voices that belong to a particular place?
For Asenjo, these tensions are part of the process.
"My first thought was that the novel had found another tongue and reader. It is a given that something is lost in translation; at the same time, something is also gained. I was less worried about individual words than about rhythm, voice, context, and the layered coexistence of Kinaray-a, Hiligaynon, Filipino, and English within the novel. Yet these are the very things that make translation exciting," she said.
Her response reframes translation not as a compromise but as a creative encounter. The challenge is not to reproduce every word exactly but to preserve a way of seeing the world.
Throughout her career, Asenjo has advocated for the visibility of regional voices within Philippine literature.
Although "Lumbay ng Dila" was written in Filipino, its worldview is deeply informed by Western Visayas and Kinaray-a culture. Rather than presenting a singular version of the nation, the novel embraces the many identities that coexist within the archipelago.
Its themes of loss, displacement, inheritance, and longing resonate far beyond Antique while remaining faithful to the communities that inspired them.
The task of translation, therefore, is not to make the novel less local. It is to allow its locality to travel.
The Dutch publication initiative signals a broader shift in how Philippine literature circulates internationally.
For decades, only a limited number of Filipino literary voices reached foreign audiences. Today, works grounded in regional histories are beginning to find new pathways abroad.
That shift matters because it changes how the Philippines is understood internationally.
The country cannot be represented by a single language, a single historical narrative, or a single literary tradition. Works like "Lumbay ng Dila" reveal a Philippines that is multilingual, layered, and constantly negotiating its own past.
Beyond translation: Why Filipino stories are finding global readers
Still, Asenjo is careful not to place impossible expectations on literature.
"I do not expect readers to finish the novel understanding the Philippines. I am not sure any single book can do that. But I hope they meet Sadyah and, in following her search through family histories, political histories, and matters of the heart, recognize a familiar human predicament: none of us begins our story at the beginning, yet all of us must somehow continue."
The journey of The "Melancholy of the Tongue" will soon move beyond the page and into a shared literary space in Barcelona.
On June 27, readers will gather at The Philippine Club in Plaza Reial for an intimate presentation of the novel and a rare opportunity to meet Asenjo in person.
Through readings and a question-and-answer session, Asenjo will discuss the creative process behind the novel.
For those unable to attend in person, a Facebook livestream will make the event accessible to audiences around the world."
https://www.abs-cbn.com/lifestyle/people-culture-events/2026/6/24/english-translation-brings-filipino-novel-lumbay-ng-dila-to-new-readers-1659
#metaglossia
#metaglossia_mundus
"...If using large models to write papers before was just about polishing and compiling references for you, then this Project from Professor Ross Griebenow’s team at Stanford is like dropping a nuclear bomb in the empirical circles of social sciences and economics.
The greatest truth is the simplest; the heaviest sword has no edge. Its functions are straightforward. Feed in the raw dataset, and within 30 minutes, it can generate a complete DOCX paper complete with full Stata/R code and publication-quality charts.
It chains together EDA, variable definition, econometric model building (from OLS to advanced DID, regression discontinuity, causal forests) all using an Agent workflow.
Every chart it produces comes with 100% reproducible Stata, R, EViews source code underneath. How many low-quality paper mills and data drones’ jobs will this smash?
Data drones and paper ghostwriters are collectively facing unemployment countdown. Because from now on, for social science papers, AI handles all the entropy-increasing drudgery—humans only need to define the problem."
https://marginalrevolution.com/marginalrevolution/2026/06/translated-from-the-chinese.html
#metaglossia
#metaglossia_mundus
"The most transformative impact of AI is still ahead, says DeepMind's Demis Hassabis
Google DeepMind CEO Demis Hassabis said AI still lacks true creativity and long-term reasoning, but could unlock new forms of storytelling, scientific discovery and artistic collaboration in the future
25 Jun 2026 10:40 IST
New Delhi: As Artificial Intelligence becomes increasingly embedded in creative industries, questions around originality, authorship and artistic expression are moving to the forefront. At Cannes Lions, one session explored these issues through the lens of one of the world's leading AI researchers.
Speaking at “The Future of Creativity”, a fireside chat at Cannes Lions, Demis Hassabis, Co-Founder and CEO of Google DeepMind, outlined his vision for how AI could support human creativity while accelerating scientific discovery and reshaping industries. He was joined by Francine Lacqua, Anchor and Editor-at-Large at Bloomberg Television, with Scott Belsky, founder of A24 Labs and Chief Strategy Officer at Adobe, later joining the discussion.
Current state of AI
Reflecting on the current state of AI, Hassabis said the pace of development has been "relentless" over the past decade, but added that key challenges continue to exist in artificial general intelligence (AGI).
“I think there's still a couple of really big pieces missing from what I would call AGI,” he said. “One is long-term reasoning planning, and another is what you could call true creativity.”
According to Hassabis, creativity involves more than refining existing ideas. “Not just iterating on a known idea or remixing existing things, but actually coming up with something novel or new,” he said.
Expanding on what artificial general intelligence could ultimately look like, Hassabis said Google DeepMind has long defined AGI as “being a system that exhibits all the cognitive capabilities humans are capable of".
Drawing on his neuroscience background, he noted that replicating human intelligence remains a formidable challenge, pointing to the extraordinary efficiency and complexity of the human brain - this includes brain functions such as emotions, creativity, and dreaming.
Future with AI
While discussions around AI often focus on disruption, Hassabis suggested that both the opportunities and challenges are still unfolding.
“I think AI is perhaps a bit overhyped in the very near term,” he said. “But then over the medium long term, over the next 10, 15 years, it is still underappreciated how much transformation AI is going to create.”
He added that the technology could lead to “almost a new human era”.
As generative AI tools become increasingly capable of creating and editing content across text, images, audio and video, Hassabis argued that their value lies not just in generating outputs but in enabling a more intuitive creative process.
Particularly as multimodal systems become increasingly capable of generating and editing text, images, audio and video, Hassabis argued that one of the key advantages of these tools is the ability to collaborate with them using natural language, making the creative process more intuitive and iterative.
“If you didn't like some part of the image or you wanted to adjust it, you could just describe in natural language explaining what you want,” he said.
Offering a creator's perspective, Belsky said the industry's response to AI remains mixed. While some artists are actively experimenting with the technology and exploring new creative possibilities, others continue to approach it with skepticism.
Despite those concerns, Belsky suggested AI could eventually give rise to entirely new forms of entertainment and storytelling, enabling more personalised and interactive experiences for audiences.
The discussion also touched on the future of work, with Belsky noting that technological shifts have historically created new categories of jobs and creative opportunities. He argued that the professions shaped by AI may be difficult to predict today, much like many digital-era careers would have seemed unimaginable a generation ago.
Concluding with transparency
As AI-generated content becomes increasingly sophisticated, Hassabis emphasised that transparency would be critical to maintaining trust in the technology. He noted that Google DeepMind developed watermarking systems alongside its models to help identify AI-generated content.
“We developed watermarking technology,” he said, adding that generated content should ultimately be traceable through common industry standards.
Despite ongoing debates around AI's impact on creativity, both speakers expressed confidence that creators would continue to adapt to new tools and technologies. Hassabis suggested that future generations would ultimately shape how AI is integrated into creative work, while ensuring that the distinctly human qualities underpinning creativity remain intact."
https://bestmediainfo.com/mediainfo/advertising/the-most-transformative-impact-of-ai-is-still-ahead-says-deepminds-demis-hassabis-12101063
#metaglossia
#metaglossia_mundus
Marruecos: marroquí
Túnez: tunecino
Curazao: curazoleño
República del Congo: congoleño
Costa de Marfil: marfileño
Cabo Verde: caboverdiano
Entre las selecciones participantes de este Mundial, algunas generan dudas respecto a los gentilicios por tratarse de nombres compuestos o poco usuales para nuestros oídos. Revisamos algunos casos.
Algunos gentilicios de las selecciones participantes, según verificación con la RAE, son:
Haití: haitiano
Bélgica: belga
Países Bajos: neerlandés
Croacia: croata
Argelia: argelino
Costa Rica: costarricense
Nueva Zelanda: neozelandés
Cabo Verde: caboverdiano
Costa de Marfil: marfileño
Marruecos: marroquí
Túnez: tunecino
Curazao: curazoleño
República Checa: checo
República del Congo: congoleño
Costa de Marfil: marfileño
Cabo Verde: caboverdiano
Arabia Saudita: saudí o saudita
Jordania: jordano
Uzbekistán: uzbeko"
https://www.hoy.com.py/ocio/rae/2026/06/24/modo-mundial-caboverdiano-y-otros-gentilicios-que-tal-vez-no-conocias
#metaglossia
#metaglossia_mundus
"The launch of the first national digital Maltese dictionary begins
On 19 June, at the University’s Aula Magna in Valletta, the Department of Maltese at the University of Malta announced the launch of the first national digital Maltese dictionary.
A new chapter in the history of the Maltese language – on 19 June, the first national digital Maltese dictionary was launched.
The Department of Maltese at the University of Malta announced the start of the national digital dictionary project – an authoritative, modern reference resource that is accessible to everyone free of charge.
Maltese already has many printed dictionaries, but for the first time we will have a dictionary that everyone can access from anywhere, free of charge, and which we can continue to update that is the beauty of being online. It is not like having a printed dictionary, where once it is printed, that is the end of it; we can add new words and new meanings that enter the language. This way, the Maltese language can remain up to date and also enter the digital era.
PROF. MICHAEL SPAGNOL
The idea began two years ago, and thanks to experts in the fields of lexicography, linguistics, corpus linguistics, and information technology, a dictionary began to be developed that provides definitions in Maltese, English equivalents, grammatical information and pronunciation guides, examples based on the natural use of the language, idioms and phrases, and the origins of words.
In terms of structure, it will include the main entry word, for example ‘frisk’. The first innovative feature is that you have the audio – how the word is pronounced. (…) Then you have the meanings. ‘Frisk’ as a noun and ‘frisk’ as an adjective. We also include phrases, such as ‘frisk frisk’ or ‘frisk bħal ħassa’. We continue down to the etymology – where the word comes from."
By Maria Christina Mallia
June 20, 2026
Aqra bil- Malti
DWAYNE ELLUL
https://tvmnews.mt/en/news/the-launch-of-the-first-national-digital-maltese-dictionary-begins/
#metaglossia
#metaglossia_mundus
"The Doha Historical Dictionary of the Arabic Language has launched an automated text-to-speech service on its website, aimed at enhancing user experience and facilitating access to and use of the dictionary's content through multimedia tools.
In a statement issued on Sunday, the dictionary stated that the service enables users to listen to dictionary entries, definitions, and historical citations contained in the dictionary, including prose texts, poetry, and verses from the Holy Quran. The feature provides an additional means of interacting with and exploring the content, while enhancing accessibility for researchers, students, Arabic language enthusiasts, and non-native learners.
Executive Director of the Doha Historical Dictionary of the Arabic Language, Dr. Mohammed Al Obaidi said that the launch of the automated text-to-speech service comes as part of ongoing efforts to develop the dictionary's online services and enable users to verify the correct pronunciation of entries, definitions, and historical citations.
He noted that the service will broaden access to the dictionary's content, particularly for users who prefer audio formats or need to listen to texts while browsing and studying, thereby strengthening the presence of Arabic in the digital sphere and improving the accessibility and usability of lexicographical content.
Al Obaidi explained that users can activate the service directly from the dictionary entry page by clicking the designated play icon, allowing them to listen to entries in a clear automated voice that ensures accurate and high-quality pronunciation.
The Doha Historical Dictionary of the Arabic Language also reaffirmed its commitment to continuously developing its digital platform through adopting the latest technologies and introducing advanced services that enhance access to lexicographical content and enrich user engagement, further reinforcing the dictionary's position as a dynamic knowledge project that keeps pace with rapid technological developments. (QNA)"
https://qna.org.qa/en/news/news-details?id=doha-historical-dictionary-launches-text-to-speech-feature-on-its-website&date=21/06/2026
#metaglossia
#metaglossia_mundus
"The Global Interpretation & Translation Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2026-2034. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.
Key Players in This Report Include:
TransPerfect, LanguageLine Solutions, RWS Group, Lionbridge Technologies, Welocalize, CyraCom International, Acolad Group, Thebigword Group, Hanna Interpreting Services, Propio Language Services, AMN Language Services, CTS LanguageLink.
Unlock the Report Insights 👉
https://www.htfmarketreport.com/sample-report/4395679-interpretation-translation-market
HTF Market Intelligence projects that the global Interpretation & Translation market will expand at a compound annual growth rate (CAGR) of 6.9 % from 2026 to 2034, from 62.50 Billion in 2025 to 108.40 Billion by 2034.
Our Report Covers the Following Important Topics:
By Type
Simultaneous Interpretation; Consecutive Interpretation; Remote Interpretation; Translation Services; Localization Services
By Application
Healthcare & Medical; Legal & Court Proceedings; Business Conferences; Government & Diplomacy; Education & Training
Definition:
The interpretation and translation industry provides language conversion services for spoken and written communication, enabling effective interaction across different languages in business, legal, healthcare, and public sectors.
Dominating Region:
• North America
Fastest-Growing Region:
• Asia-Pacific
Market Drivers
🔹 Growing international business activities and multilingual workforce environments.
🔹 Increasing demand for language support in healthcare, legal, government, and education sectors.
🔹 Expansion of global conferences, virtual meetings, and cross-border collaborations.
🔹 Rising migration and cultural diversity creating greater communication needs.
Market Trends
🔹 Adoption of remote interpretation platforms and virtual language services.
🔹 Integration of AI and speech recognition technologies to support interpreters.
🔹 Growing demand for on-demand language services across digital communication channels.
🔹 Increased use of hybrid human-machine translation workflows.
Market Challenges
🔹 Shortage of qualified interpreters for specialized and less-common languages.
🔹 Maintaining linguistic accuracy in real-time interpretation environments.
🔹 Data security concerns when handling confidential conversations and documents.
🔹 Pricing pressure due to increasing availability of automated language technologies.
Market Opportunities
🔹 Expansion of remote interpretation services for global events and virtual workplaces.
🔹 Growing demand for specialized interpretation in healthcare, legal, and technical industries.
🔹 Development of AI-enhanced language platforms supporting real-time communication.
🔹 Rising investments in multilingual customer support and international business services.
Need Research Tailored to Your Business Goals? Request a Custom Study 👉
https://www.htfmarketreport.com/enquiry-before-buy/4395679-interpretation-translation-market
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Order Full Report Now 👉 https://www.htfmarketreport.com/reports/4395679-interpretation-translation-market
Interpretation & Translation Market Research Objectives:
Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
Five forces analysis-the threat of new entrants, the threat of substitutes, the threat of competition, and the bargaining power of suppliers and buyers-are carried out to better understand market circumstances.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global Interpretation & Translation Market:
Chapter 01 - Interpretation & Translation Market Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global Interpretation & Translation Market - Pricing Analysis
Chapter 05 - Global Interpretation & Translation Market Background or History
Chapter 06 - Global Interpretation & Translation Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide Polyester Fiber Market
Chapter 08 - Global Interpretation & Translation Market Structure & worth Analysis
Chapter 09 - Global Interpretation & Translation Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - Interpretation & Translation Market Research Method Polyester Fiber
Thank you for reading this post. You may also obtain report versions by area, such as North America, LATAM, Europe, Japan, Australia, or Southeast Asia, or by chapter.
Nidhi Bhawsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
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About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making."
https://www.htfmarketreport.com/enquiry-before-buy/4395679-interpretation-translation-market";
https://www.openpr.com/news/4556350/interpretation-translation-market-may-see-a-big-move-major
#metaglossia
#metaglossia_mundus
"Considering one's own language as being superior to someone else’s exposes the narrowness of one’s own mind
Pratik Bapat 18 June, 2026 04:26 pm IST
Not too long ago, Mumbai had its municipal elections. With it came the ‘once-in-five-years’ attempts by political parties to remind voters how their language was under threat from an increasing influx of outsiders. The central point of debate around who would become mayor was whether they would be a Maharashtrian or not.
Some people were “slapped” for not speaking in Marathi. Every party has gone out of its way in recent elections to remind voters that they ought to vote for them because they are the so-called protectors of the language, and therefore, the people of the state. This is not only the case in Maharashtra, but in many other states where language has become a source of polarisation on par with caste and religion.
As a polyglot, this phenomenon is rather strange. I am a native Maharashtrian who learned to speak fluent English and Hindi through education and interaction. I began learning Spanish in high school and now possess a B2 (professional fluency) level certification. I have also learned some French (A1) and Mandarin (HSK 1-speaking). I can say with certainty that no language needs any political party’s protection. Each language is beautiful in its own way and some expressions in one language cannot be translated into another language.
Let us take the example of age. In English, you ‘are’ of a certain age, but in Spanish you ‘have’ so many years. In Hindi and Marathi, a person ‘is’ of a certain age, but in French, a person ‘has’ a certain age. Something as simple as age is expressed so differently in different languages.
Knowing more than one language gives a person the chance to acquire diverse conceptual maps of the world. If someone spoke a different language, I would want to learn theirs and speak theirs as well as I can speak mine. However, some people seem to be having a rather flabbergasting approach to this. They would rather hate someone who speaks another tongue.
No great city in the world is great because only one kind of language is spoken there. Most international level cities harbour diverse crowds. Geneva is in the French speaking part of Switzerland but you don’t just hear French there. You also hear a lot of Spanish, English, German, Mandarin, other European languages and, sometimes, also Hindi. It is the ability of cities to assimilate diverse crowds that determines a city’s ability to tap into a wide pool of talent in its workforce. In India, cities like Bangalore and Mumbai have become hubs because of their ability to utilise blue and white collar labour from other states. Linguistically monoclonal cities will never reach those heights.
It is sad to see language used as a political weapon. It is not necessary for a person to hate Hindi in order to love Marathi or vice versa. In fact, both are similar languages and can easily be learned by speakers of the other. Learning languages increases the plasticity of one’s mind and is never a minus in life. If this is not enough, let us remember that the leaders who divide voters on the lines of language often send their kids to English-medium international schools. I am sure that their kids learn German and French alongside English. However, they want their voters to be narrow minded because that suits their politics.
In a country of diverse languages, urban centres must strive to become as linguistically diverse as possible so as to attract talent from all over the country.
Pratik Bapat is a student of Geneva Graduate Institute.
https://theprint.in/campus-voice/the-futility-of-linguistic-chauvinism/2963210/?amp
#metaglossia
#metaglossia_mundus
"French and Spanish success in the Anthea Bell Translation Competition
Translation Competition
The Anthea Bell Prize for Young Translators was launched in 2020 by the Translation Exchange at The Queen’s College, Oxford. The competition is inspired by the work of the translator, Anthea Bell OBE (1936–2018), one of the finest and most influential literary translators of the 20th and 21st centuries, best known for her witty translations of the Asterix comic books. Not only did she translate works from French but also from German and Danish, tackling major works of European literature, including Kafka and Sebald.
The competition was founded to promote language learning across the UK, to inspire creativity in the classroom and to motivate more pupils to study modern foreign languages throughout their schooling and beyond.
It runs across four levels in six languages, French, German, Russian, Mandarin, Spanish and Italian. There are close to 25,000 entries every year and this year, pupils of French and Spanish were highly commended for their translations. Albert P in Year 10 translated an extract from Marguerite Audoux’s 1911 novel Marie-Claire and Clementine F and Evie J translated an extract from the Chilean author, José Ignacio Valenzuela’s, Mi Tío Pachunga. With close to 25,000 entries per year, this is a superb achievement for our pupils."
18 June 2026
https://www.greshams.com/french-and-spanish-success-in-the-anthea-bell-translation-exchange-competition-2026/
#metaglossia
#metaglossia_mundus
Transync AI Highlights New 2.0 Models for Faster, More Natural Multilingual Meetings
"As global teams increasingly rely on Zoom, Microsoft Teams, Google Meet, and other online meeting platforms, real-time translation is becoming an important part of daily collaboration.
Cross-language meetings, however, are rarely as simple as translating one complete sentence at a time. Real conversations often include short phrases, interruptions, background noise, mixed-language speech, and irregular pauses. These conditions can make traditional translation systems feel slow or inconsistent.
Transync AI has introduced its new 2.0 translation models to make multilingual meetings faster, more stable, and more natural.
New Translation Models Built for Real Conversations
The update includes upgraded versions of three Transync AI models: Gale 2.0, Monsoon 2.0, and Jetstream 2.0.
Each model has been improved to deliver better translation speed, accuracy, and continuity across different communication scenarios. The new models are especially optimized for the challenges that commonly occur in real meetings, including:
Short or incomplete sentences
Mixed-language speech
Background noise
Irregular sentence breaks
Fast exchanges between speakers
These improvements are designed to help translations remain easier to follow during active conversations, rather than only during prepared speeches or presentations.
Supporting Faster Multilingual Collaboration
Transync AI provides bidirectional real-time translation in 60 languages. Participants can speak in either of the two selected languages, while the system automatically identifies the language being spoken and translates it into the other.
The original speech and translated text are displayed side by side, giving users a clear view of both versions of the conversation. Translated voice playback is also available for users who prefer listening instead of continuously reading subtitles.
For online meetings, Transync AI works alongside platforms such as Zoom, Microsoft Teams, and Google Meet. As a standalone application, it does not need to appear as a participant bot inside the meeting.
This makes it suitable for international project meetings, overseas client calls, product demonstrations, remote training, and communication between regional offices.
More Natural Voice Translation
The v2.0 update also adds voice preview for AI broadcast.
Users can listen to different voice options before starting a meeting and choose one that better fits the situation. This can be useful when teams want a professional voice for client meetings, a clearer voice for training, or a more natural tone for everyday conversations.
Transync AI also supports multiple voice styles and voice cloning, allowing translated speech to sound more personal and consistent.
Better Support for Professional Terminology
Names, brand terms, technical phrases, and industry-specific vocabulary are common sources of translation errors.
To address this, Transync AI allows users to enter keywords and meeting context before a session begins. Teams can add company names, product names, professional terms, or personal names, while also describing the meeting topic or industry background.
The latest update expands the available keyword limits, giving individuals and enterprise users more room to prepare specialized vocabulary for professional discussions."
https://markets.financialcontent.com/stocks/article/abnewswire-2026-6-20-transync-ai-highlights-new-20-models-for-faster-more-natural-multilingual-meetings
#metaglossia
#metaglossia_mundus
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One of the everyday challenges of police work is the language barrier
Sheriff’s Office implements language translation tech
“Obviously, there are non-English speakers in our area and this greatly assists us with being able to effectively communicate with them.”
One of the everyday challenges of police work is the language barrier. Officers often have to use translation services online or work with an interpreter to communicate. However, this can take considerable time.
Earlier this month, the Pinellas County Sheriff’s Office announced that it is now implementing an artificial intelligence-based language translation software.
Team members can access the tool through their body worn cameras. It is already being utilized for investigations, traffic stops and community events.
The law enforcement agency’s team has access to 57 languages (with English being the base): Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese and Welsh.
“We’re always consistently looking for new and innovative ways to improve our public safety,” said PCSO traffic sergeant John Mullins. “Obviously, there are non-English speakers in our area and this greatly assists us with being able to effectively communicate with them.”
Since the technology is artificial intelligence-based, it has an accuracy rate of 90 to 95%.
He added that the PCSO began a 90-day trial in November 2025 to “make sure things are functional and that it was actually beneficial.” The participating deputies provided feedback that was “overwhelmingly positive.”
“Everyone who had access to it and used it in the field during the trial period spoke nothing but good things about how it bridged the barrier,” Mullins explained.
The Sheriff’s Office received access to the tool through a partnership with public safety technology company Axon, which manufactures the agency’s body cameras. It is available to all certified law enforcement deputies in the field and at the Pinellas County Jail. Bailiffs at the county’s courthouses also have access to the technology.
Additionally, multiple civilian team members at the Pinellas County Jail, including probation officers and medics, can utilize the software.
The Hillsborough County Sheriff’s Office and the Tampa Police Department have been utilizing artificial intelligence-based language translation technology as well.
He said that there are many benefits to using the new system. Officers can “quickly and effectively communicate with people in emergency situations.” Additionally, the technology “drastically reduces the wait time in trying to get someone who speaks that language to the scene or potentially waiting on the phone on a language line.”
PCSO team members can access vital information firsthand and alert other responding units if necessary.
Mullins explained that the software can also “reduce frustration with the citizen, allowing for “a much more fluid and natural conversation.” They can communicate with officers in real time without a delay. These individuals, he added, are “usually not going through their happiest hour.”
More languages will be added over time as Axon expands the technology. According to the PCSO, deputies have reported two languages that are not represented: Creole and Albanian."
Michael Connor
June 15, 2026
https://stpetecatalyst.com/sheriffs-office-implements-language-translation-tech/
#metaglossia
#metaglossia_mundus