Language Tech Market News
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Japan to Boost English Teaching in Schools with AI robots

Japan to Boost English Teaching in Schools with AI robots | Language Tech Market News | Scoop.it

English-speaking artificial intelligence (AI) robots will be helping out in some 500 Japanese classrooms from next year as the country seeks to improve its English skills, particularly among children and teachers. The education ministry is planning a pilot project costing around 250 million yen (US$227,000) to improve Japanese students’ notoriously weak oral and written English, an official said.

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AI Bot Turns Words into Vaguely-recognizable Pictures

AI Bot Turns Words into Vaguely-recognizable Pictures | Language Tech Market News | Scoop.it

Cristobal Valenzuela, who builds machine learning tools, created a site to demonstrate how AI can parse words and try to convey their meaning in a visual way like “a visual chatbot in reverse.” The algorithm tries to generate a picture from what you tell it. The concept is based on research from a paper published last year called AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

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Voice and #ASR Software Market to Hit $6.9B by 2025

Voice and #ASR Software Market to Hit $6.9B by 2025 | Language Tech Market News | Scoop.it

The global market for voice and speech recognition software will increase from $1.1 billion in 2017 to $6.9 billion by 2025, according to a new report from Tractica. The leading use cases for the technology during that period will include healthcare (clinical documentation), automotive virtual digital assistants (VDAs), and voice commerce and customer service applications.
Additional use cases will include smart home controls, security and authentication, and voice search, among others, the report notes.

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deepsense.ai Announces Strategy to Become Europe's AI Powerhouse

deepsense.ai recently laid out its five-year strategy. Building on its accomplishments to date, the company aims to move further into the AI solutions market and grow fivefold in size by focusing its services on three key technologies: Predictive Modeling, Computer Vision and Natural Language Processing. It will pair that work with comprehensive Data & Analytics Platforms advisory and artificial intelligence/machine learning workshops.

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#ASR#Translation Market to Grow by 18.11% to 2025...

Research N Reports analysts forecast the Global STS Translation market will grow at a CAGR of +18.11 percent over the period 2018-2025.
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The Value of Artificial Writing: An Interview with @Botnik's Jamie Brew

JB: I expect we’ll continue to see AI. tech that tries to help people do things as fast as they can while making the fewest possible decisions. I think one of Botnik’s roles is to resist that impulse and ask: “What decisions don’t we want to give away? What decisions do humans actually enjoy making?” That’s the challenge of making the hybrid tech we’re trying to make: offering people decisions they want to make.

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Teach Alexa to Speak a New (Indian) Language

Teach Alexa to Speak a New (Indian) Language | Language Tech Market News | Scoop.it

Users can now teach Amazon' Alexa local Indian languages such as Hindi, Tamil, Marathi, Kannada, Bengali, Telugu, Gujarati and other Indian languages. The more they use this Cleo function the more it will improve Alexa's speech recognition and natural language understanding in the long term.

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Multilingual Chatbots Perform Better Than Monoglot-bots

Multilingual Chatbots Perform Better Than Monoglot-bots | Language Tech Market News | Scoop.it

Introducing a chatbot that speaks only the ten most common languages would open up conversations to over three billion people worldwide. In addition, AI that are taught more than one language perform better at tasks than monolingual bots, and they better learn word context and relationships. Since bots can be trained in multiple classic human languages, they can also be trained to recognize less formal shorthand, internet speak or even typos that might confuse a human agent.

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Using #NMT to Ensure Low-Latency Speech Translation

Using #NMT to Ensure Low-Latency Speech Translation | Language Tech Market News | Scoop.it

Researchers from the Karlsruhe Institute of Technology (KIT), in Germany, "In this work, we aim to remedy the problem of partial sentence translation in NMT," the researchers wrote. "Ideally, we want a model that is able to generate appropriate translations for incomplete sentences, without any compromise during other translation use cases."  Their adaptation of NMT achieved high-quality translations at low latency, minimizing the number of corrected words by 45 percent. In the future, their study could have meaningful practical implications, helping to develop better tools for real-time speech translation.

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LangTech Opportunity? How Language Changes Impact Fraud Risk

LangTech Opportunity? How Language Changes Impact Fraud Risk | Language Tech Market News | Scoop.it
Modern languages continually evolve. Some evolution comes from necessity. For example, we create words to describe new technology, such as texting or Wi-Fi. Other changes reflect evolving social or cultural norms. New generations devise new slang, and old phrasing fades away. Over time, these types of changes percolate into business communications. In many ways, the rise of technology has hastened this linguistic evolution, particularly in the business environment.

Evolutions in language and communication have several ramifications that affect the way auditors should approach their engagements and their consideration of fraud risk. While some research on related topics has been performed by academic scholars, much of how this evolution will affect fraud is still being examined. This article is informed by academic research conducted through the Institute for Fraud Prevention (jointly founded by the Association of Certified Fraud Examiners and the AICPA) and other organizations. Research insights from these and future studies can help inform the business community's and auditing profession's responses to change.
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Amazon Open-Sources Dataset for Understanding "Foreign-language" Names

Amazon Open-Sources Dataset for Understanding "Foreign-language" Names | Language Tech Market News | Scoop.it

Called a multilingual named-entity transliteration system, the tool for recognizing a name across different languages was based on an AI model created after Amazon made the dataset from Wikidata, content used to populate Wikipedia. In all, the dataset contains nearly 400,000 names in languages like Arabic, English, Hebrew, Japanese Katakana, and Russian.

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Baidu's DuerOS Assistant Now Installed on 100 Million Devices

Baidu's DuerOS Assistant Now Installed on 100 Million Devices | Language Tech Market News | Scoop.it

Baidu has announced that its conversational AI assistant DuerOS has reached an install base of 100 million devices, up from 50 million just six months ago. This is a suite of software developer kits (SDKs), APIs, and turnkey solutions that allow original equipment manufacturers (OEMs) to quickly integrate Baidu’s voice platform with smart speakers, refrigerators, washing machines, set-top boxes, and more. To date, its more than 200 partners have launched 110 DuerOS-powered devices.

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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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High-quality Actor-dubbing Synchronization Is Here

High-quality Actor-dubbing Synchronization Is Here | Language Tech Market News | Scoop.it
Researchers have developed a system using artificial intelligence that can edit the facial expressions of actors to accurately match dubbed voices, saving time and reducing costs for the film industry. It can also be used to correct gaze and head pose in video conferencing, and enables new possibilities for video postproduction and visual effects.
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#NLP Architect by Intel Lab: Release 0.2

#NLP Architect by Intel Lab: Release 0.2 | Language Tech Market News | Scoop.it
New version of NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding http://nlp_architect.nervanasys.com/
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Wikipedia Article Summarisation Still Not Good Enough

Wikipedia Article Summarisation Still Not Good Enough | Language Tech Market News | Scoop.it

A team within Google Brain taught software to summarize info on web pages and write a Wikipedia-style article. It turns out text summarization is more difficult than most of us thought. Google Brain's efforts to get a machine to summarize content is slightly better than previous attempts, but there is still work to be done before a machine can write with the cadence and flair humans can. It turns out we're not quite ready to have a machine automatically generate Wikipedia entries, but there are efforts underway to get us there.

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#NLG Drives @Gravyty Stewardship's Giving Thanks and Cultivating Donors App

#NLG Drives @Gravyty Stewardship's Giving Thanks and Cultivating Donors App | Language Tech Market News | Scoop.it

Gravyty, a provider of AI-enabled fundraising software, has launched Gravyty Stewardship -the social good industry's first AI product developed to help frontline fundraisers thank donors today, and cultivate them for future giving. It uses Natural Language Generation technology to learn the writing style of frontline fundraisers and predict next steps, seamlessly within the fundraiser's email.

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UK Regional Accents Under Threat from Voice Assistants?

UK Regional Accents Under Threat from Voice Assistants? | Language Tech Market News | Scoop.it

Regional accents could be being suppressed by voice assistants including Google Home, Alexa, Cortana and Siri, according to the Life Science Centre in Newcastle in Newcastle. A study found that 79% of people with a regional accent said they had to alter how they spoke in order to communicate with their devices.

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Using Language Intelligence to Streamline Key HR Tasks

Using Language Intelligence to Streamline Key HR Tasks | Language Tech Market News | Scoop.it
But what about taking this a step further and incorporating conversational AI into the hiring process? Recruiting and interviewing a candidate might sound daunting; handing it over to a 1st generation chatbot with all its failures and frustrations seems positively ludicrous. However, recent innovations in natural language technology offers huge advantages when it comes to incorporating AI into HR – with implications for all employees, both future and current.
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Expert System @RYTER to Build Consumer Legal Apps With Students

Expert System @RYTER to Build Consumer Legal Apps With Students | Language Tech Market News | Scoop.it

German expert system, Ryter, is to build consumer-facing legal applications in a partnership with the Humboldt Consumer Law Clinic (HCLC) at the Humboldt University of Berlin. Various tools will ne built using Ryter’s technology, focusing on consumer protection issues ranging from rights of residence, labour law, maintenance law, to rental law.

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Voice-Command Services in Korean Hotels

Voice-Command Services in Korean Hotels | Language Tech Market News | Scoop.it

SK Telecom said that it had installed its NUGU AI platform in 44 rooms of the Vista Walkerhill Hotel in eastern Seoul. This enables guests to control lighting, curtains and temperature through voice commands, and find checkout and breakfast times as well as other information about hotel facilities through voice commands.
Since the release of the NUGU platform in September 2016, the firm has released about 40 kinds of services using the platform.

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Battling Population, Gender and Accent Bias In Speech Recognition Tech

Battling Population, Gender and Accent Bias In Speech Recognition Tech | Language Tech Market News | Scoop.it

"We see three different biases that are developing in in the voice ecosystem — they are underrepresented demographics. So these are people in areas where the market is not powerful enough for bigger companies to reach. There is also gender biases and there's accent biases. So for instance, if you are a fluent, native English speaker in, say, Ireland, it's going to be a lot harder to use Siri than it is if you are a North American male," said Michael Henretty, Mozilla's Common Voice project lead. 

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@NICE Expands Language Selection for its Text Analysis Platform

@NICE Expands Language Selection for its Text Analysis Platform | Language Tech Market News | Scoop.it

NICE is integrating Rosette text analytics into NICE Nexidia, introducing a variety of new languages and enhancing the analysis capabilities of webchats, emails, and other text-based customer interaction channels. The new languages include Chinese, Dutch, English, French, German, Italian, Japanese, Portuguese, and Spanish.

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Using Location Info to Improve Siri’s #ASR Language Models

Using Location Info to Improve Siri’s #ASR Language Models | Language Tech Market News | Scoop.it

This article describes how we improved Siri’s ability to recognize names of local POIs by incorporating knowledge of the user’s location into our speech recognition system. Customized language models that take the user’s location into account are known as geolocation-based language models (Geo-LMs). These models enable Siri to better estimate the user’s intended sequence of words by using not only the information provided by the acoustic model and a general LM (like in standard ASR) but also information about the POIs in the user’s surroundings.

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Email Text Analytics to Gauge Corporate Morale

Email Text Analytics to Gauge Corporate Morale | Language Tech Market News | Scoop.it
In an ideal world, employees would be honest with their bosses, and come clean about all the problems they observe at work. But in the real world, many employees worry that the messenger will be shot; their worst fears stay bottled up. Text analytics might allow firms to gain insights from their employees while intruding only minimally on their privacy. The lesson: Figure out the truth about how the workforce is feeling not by eavesdropping on the substance of what employees say, but by examining how they are saying it.
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