Everyone’s Talking About ChatGPT, DeepL Crowned Unicorn
Generative AI hype, DeepL confirms unicorn round, translation scam activity in 2022, the best and worst performing listed LSPs, and Amazon’s study on human dubbing.
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Working Around Machine Translation’s Need for Large-Scale Training Data
Unlike some fields in machine learning, machine translation still requires large sets of training data. The solution? Creating more data when none (or not enough) exists.
A Realistic Dataset for Evaluating Gender Bias in Machine Translation by Amazon
Amazon releases MT-GenEval, a realistic dataset for evaluating gender bias in machine translation, to better understand how MT models perform on gender translation accuracy.
Large Amazon Study on Human Dubbing Has ‘Surprising’ Implications for AI Dubbing
Amazon reviewed hundreds of hours of Prime content and found that human dubbers prioritize translation quality and speech naturalness over timing and lip sync.
Amazon Quantifies Impact of Machine Translation Quality on Multilingual Searches
Multilingual e-commerce searches introduce shoppers to new products; researchers identify language pairs with most to gain from launching or improving machine translation.
Slator 2022 Language Industry M&A and Funding Report
44-pages on 2022 translation and localization industry acquisitions and translation startup investments, with valuations, deal rationale.
Converting Any Pre-Trained MT Metric Into a Document-Level Metric — An Amazon Study
Researchers from Amazon present a simple procedure for extending pretrained machine translation evaluation metrics to the document level.
Amazon Unveils Long-Term Goal in Natural Language Processing
Amazon presents three ways it hopes to extend current natural language processing R&D beyond just a small subset of the world's 7,000+ languages.
Amazon’s Professional Translators, Transifex, SeproTec, BIG
Netflix ramps up gaming as shares fall; Amazon scales from 8 to 51 languages. In M&A, BIG acquires Lawlinguists, SeproTec buys tsd, and Transifex sells to PARC Partners.
Is Subtitling Really a ‘Dying Art’?
As a leading tech site reports on the ‘dying art of subtitling,’ we unpack why it is anything but — and how LSPs, investors, and streaming giants are focused on subtitling like never before.
The 10 Most Popular Language Industry Stories of 2021
After an extraordinary year, our look back on 2021 — from Big Tech to big buys, machine translation to translators’ job prospects — shows the language industry is thriving.
Linguists Wanted! 10 Language Jobs Big Tech Is Hiring For Right Now
Curating datasets, reviewing user-generated content, and liaising with locals — all in a day’s work for a linguist hired by big tech. (No computer science degree or published research required.)
Reader Polls: Dubbing Today vs. the ’90s; State Use of MT for Talking to Citizens
We asked your opinions on English dubbing, MT research findings, post-editing TM versus MT output, and Google Translate.
Netflix Brings Mobile Gaming to Europe and New Series to Twitch
As competition with other streaming services heats up, Netflix rolls out limited selection of Android games to maintain subscriber interest. Game localizers should take note.
Automatic Dubbing: Amazon AI Researchers Explore Length-Controlled MT
Amazon AI researchers delve deeper into automatic dubbing by controlling the length of machine translation output, aiming to automate “complex and demanding” dubbing workflow.
How Netflix, Disney (Maybe Even Amazon) Are Driving Demand for English Dubbing
Helped in no small part by lockdowns, the world’s streaming giants can take credit for the broadened palate for foreign content of its English-speaking customers — who now clamor for better dubbing.
Inside DeepL: The World’s Fastest-Growing, Most Secretive Machine Translation Company
How DeepL outmaneuvered big tech, won a following, and is now rapidly moving into machine translation as a managed service for enterprise customers.
Facebook, Amazon, Twitter Research ‘Blind Spot’ in Modern Machine Translation
New paper by Facebook, Amazon, Twitter, and University of Melbourne examines vulnerability of systems using back translation to attacks on monolingual training data.
Machine Translation Left Unaddressed by EU in Proposed AI Legislation
How risky are machine translation and other natural language processing applications? “First AI legislation on the planet” aims to mitigate risk. Violators may face significant fines for breach.
Apple’s Job Openings for ‘Creative Producers’ May Hint at Plans for Machine Dubbing
Voice producers fluent in a range of languages will work with synthetic speech to improve Siri — but Apple could be setting the stage for broader use cases, such as dubbing.
Amazon Looks to Further Automate Quality Checks in Subtitle Translation
Team of Amazon researchers uses synthetically introduced errors to model a new way of identifying the over and under translation of human translated video subtitles.
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