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Machine Translation
News and analysis of the latest developments in machine translation, computer-aided-translation, natural language processing, and other language-related areas in artificial intelligence.
What You Need to Know About Bias in Machine Translation
As machine translation gets better, the problem of bias — especially gender bias — remains a source of embarrassment for the industry. Why MT bias matters and how major players are trying to fix it.
Meta Claims ‘Breakthrough’ in Machine Translation for Low-Resource Languages
The new model, praised by Meta founder and CEO Mark Zuckerberg, is already being used to improve more than 25 billion translations daily on Facebook, Instagram, and other apps.
Meta Tries Making Human Evaluation of Machine Translation More Consistent
Social media giant Meta proposes new metric to enable more consistency in human evaluation of machine translation; addresses big challenge in translation QA for low-resource language pairs.
Post-Editing Machine Translation Limits Creativity in Literary Translation — Research
New EU-funded research assesses how effective machine translation is in literary translation; focuses on creative aspect of literary texts and reader experience.
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Machine Translation in Subtitling: New Job Profiles, New Skills, New Era
Technological advances are affecting the audiovisual-translation landscape, shaping a new skill set for professionals aspiring to compete in the AVT market; and these job profiles are here to stay
Now It’s Japan’s Turn to Claim Human Parity In Machine Translation
Japanese Government claims their machine translation engine has reached the level of professional translators specializing in the financial sector.
Post-Editors, MT Engineers, PE Consultants — Here Are the Skills You Need
Post-editors need specific competencies and skills to fulfill the requirements of a post-editing task — and establish post-editing as a profession in its own right.
More Than Hype: Meta Reveals Two-Pronged Machine Translation Roadmap
Part of the billions of dollars going into the Metaverse will undoubtedly go into these two areas of machine translation. Meta AI reveals its MT roadmap and the people working on it.
Why Eye-Tracking Matters in Machine Translation Post-Editing
Eye-tracking technology has advanced considerably such that use cases have opened up in machine translation evaluation, MT error identification, and pricing for post-edited MT.
Swiss Post Bans DeepL, (Partially) Backs Down After Staff Uproar
After pushback, Switzerland’s national postal service reverses ban on employees using DeepL, Google Translate. Ban remains for PostFinance bank, which must rely on internal MT engine, Post Translate.
Google Research Brings ‘Massively Multilingual’ Machine Translation to 200+ Languages
How necessary is parallel data for improving machine translation quality for low-resource languages? Google researchers scale model with ‘pragmatic approach.’
Facebook (You Know, Meta) CTO Hypes WMT 2021 Win as ‘Truly Groundbreaking’
To be fair, this is the first-ever multilingual model to win the international machine translation contest. But major tech companies have been exploring multilingual models for years.
Gamers Debate: Does Machine Translation Make Game Localization Worse?
Studios release machine translated games and players run QA. Fan translations predate MT, but new tools may help gamers contribute to more seamless localizations.
Impact of Machine Translation Quality on Post-Editing Speed “Difficult to Discern,” Research Finds
New research from Memsource and Charles University in Prague finds connection between machine translation quality and post-editing speed weaker than previously assumed.
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.
Guess Which Language Pair Emits the Most Carbon in Machine Translation
Researchers tracked CO2 emissions from training German, French, and English machine translation engines, and found this language pair to be most carbon-intensive.
This Is How Automatic Speech Recognition & Machine Translation Are Revolutionizing Subtitling
Templates are to subtitles what automatic speech recognition (ASR) and machine translation (MT) are to the subtitling workflow: revolutionary. Experts test AppTek tool, share candid feedback.
Google Ups Ante in Speech-to-Speech Translation With ‘Robust’ Translatotron 2
Google researchers say Translatotron 2 outperforms original in terms of speech-to-speech translation quality and naturalness. Plus the new version prevents users from generating speech for deepfakes.
769 Machine Translation Papers Show Automatic Evaluation Worsening
Combing through papers released from 2010 to 2020, researchers identify overreliance on metric BLEU to the exclusion of 100+ alternatives — a major weak point.
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