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How @BuzzFeed Automates Content #Localization Decisions

BuzzFeed has collected a lot of historical data over the years. Using heuristics and logistic regression, the model they have built can predict the type of article that might do well in other languages. For example, if the team were trying to identify what kind of content to adapt from the English-speaking to the Portuguese market, the model would go through data, including performance split by country, all historical articles, and all articles that have been translated from English to Portuguese in the past, and a ‘hotness score’ would be generated based on the output of the logistic regression. The higher the hotness score, the more likely it is that the article will be a success.

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@SDL Partners with Alibaba for Localised Web Hosting Service across Asia

@SDL Partners with Alibaba for Localised Web Hosting Service across Asia | Language Tech Market News | Scoop.it

SDL has formed a strategic partnership with Alibaba Cloud to launch a co-developed solution designed to help global brands launch and grow a website or digital brand in the Asia region – including language differences, censorship and privacy regulations, China’s firewall and local domain registrations.

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Voice Quality Framework Needed for Game Localization Industry

Kirill Soloviev on Games Localisation Conference in Warsaw: No attendees I’ve spoken to were aware of any structured framework similar to MQM (which I’ve covered extensively in my talk and workshop during Game Global Forum) that could support systematic evaluation and measurement for voice localization quality. Perhaps this is something that TAUS could undertake with help from major players like Keywords? This would enable game localizers and producers to make better decisions for their localized games from an entirely holistic view of quality across text, voice, and software aspects.

Testing player experience
One thing in common

LT-Innovate's insight:

The translation/localisation industry now has to embrace voice content in general, which raises-new quality evaluation (and technology use) questions...

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@ULG Awarded 2nd #NMT R&D Grant from Enterprise Ireland

United Language Group (ULG), has been awarded a quarter of a million-dollar grant by Enterprise Ireland Innovation Partnership Programme to continue the work of its NMT technology R&D in its Galway Office in collaboration with NUI Galway.
The grant will fund R&D on an MT solution that will differentiate ULG from commercial solutions that are not tailored for specific industries or organizations.

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XTM International Launches XTM Cloud v11.1

XTM International Launches XTM Cloud v11.1 | Language Tech Market News | Scoop.it

XTM International has released a new version of XTM Cloud. The integration with Google Sheets is a breakthrough achievement. .

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Study of Impact of @SDL Solutions on Global Content Delivery

Study of Impact of @SDL Solutions on Global Content Delivery | Language Tech Market News | Scoop.it

According to the Forrester Consulting study, "The Total Economic Impact Of SDL Tridion DX Content Management And Language Technology & Services," SDL contributes to "ease of expansion, improved quality, and improved consistency of sites," supporting a substantial web traffic increase. Interviewing customers from various industries, Forrester Consulting indicates that customers can expect a three year return on investment (ROI) of 112%, and payback within 15 months; and over the course of three years total benefits of $8.3 million vs. costs of $3.9 million, adding up to a net present value (NPV) of $4.4 million.  

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Multilingual Digital Labelling and Smart Packaging in a Global Marketplace

Multilingual Digital Labelling and Smart Packaging in a Global Marketplace | Language Tech Market News | Scoop.it

Digital labelling involves using electronic triggers on product packaging such as QR codes, data matrix, 2D barcodes, image recognition or NFC stickers that can be activated through smartphone applications or internet enabled devices. On interacting with these triggers, the application or device will take the customer to a product specific web interaction with all product information in their language of preference which the app will detect from the phone’s web browser. For example, if your phone’s language preference is Korean, the digital label will be rendered in Korean, personalising your view of the product information.

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How Netflix Solved the String Length Problem When Translating UIs from English-to-X

The source of the problem is that our UIs are designed in English, and assume English string lengths, line heights, and glyphs. More often than not, when those strings are translated we will see expansion that causes layout issues. When the product is translated into 26 languages, like ours is, you potentially end up with 26 defects that need to be logged, managed, and resolved; all the while we had the opportunity to fix the issue at the English design phase, before translation ever started.
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The Most Commonly Spoken Language In Each Neighbourhood Of New York City, Mapped

The Most Commonly Spoken Language In Each Neighbourhood Of New York City, Mapped | Language Tech Market News | Scoop.it
Business Insider's Andy Kiersz used data from the Minnesota Population Center to map the most common languages spoken in each neighborhood of New York City, and the results speak for themselves:
LT-Innovate's insight:

You'll need this to localise-personalise your chatbots and apps! 

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@SDL Marketing 'Linguistic AI' as the New Content Technology

@SDL Marketing 'Linguistic AI' as the New Content Technology | Language Tech Market News | Scoop.it

SDL events, currently taking place across the US and Europe, will focus on the following key themes:
- Emerging content trends that are dramatically impacting business today and a glimpse into the future.
- What a global content operating model is and how it can solve brands’ content challenges with AI-driven customer journeys.
- Why Linguistic AI is unique and how it enables the future of content.
- How brands can prepare their business for this rapidly approaching paradigm shift with practical technology applications and processes that can be implemented today.

LT-Innovate's insight:

"Linguistic AI" sounds like a cunning way to make sure "AI" gets into the new mix.

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SoftBank Ventures Invests $23.5M in Singapore Media Localization Group

SoftBank Ventures Invests $23.5M in Singapore Media Localization Group | Language Tech Market News | Scoop.it

SoftBank Ventures, the early stage venture capital arm of Japan’s SoftBank Group, has invested $23.5 million in Singapore-based localization services provider IYUNO Media Group (dubbing, sub-titling, access services, media processing, and software licensing to studios, network groups, and over-the-top providers). This investment is designed to bring localization technologies to industry applications, including neural MT and voice synthesis foe audio localization and dubbing.

LT-Innovate's insight:

Part of the ongoing shift from boutique suppliers to large-scale tech--driven global video localisation services?

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