Sure, Google Translate Volumes Are Staggering, But Here Are Hotter Insights From Google I/O 2021
Google I/O 2021 unveils key developments relating to language technology — from assisted writing to new and powerful language models. Continue reading
Gino Diño
Content strategy expert and Online Editor for Slator; father, husband, gamer, writer―not necessarily in that order.
Translators, Meet Python: Most Popular Programming Language for Student Linguists
Students of linguistics will likely run into Python, the most popular programming language for learning translation technology today given its user-friendliness and ubiquity. Continue reading
Facebook RFP Asks Academia for Harmful Language Datasets and Benchmarks
Facebook is offering USD 10,000 to USD 50,000 grants to universities to build open source datasets and evaluation platforms to help fight harmful content online. Continue reading
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Reader Polls: Post-Editing, Interactive Prediction, Translation Devices, and M&A
Slator’s readers give their take on translation devices, per-hour word output for post-edited MT, post-editing versus interactive prediction, and M&A activity in 2019. Continue reading
As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products
At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called out some myths from vendors, and pointed out what’s missing from the industry. Continue reading
Median Annual Pay for US Translators and Interpreters Climbs to Nearly USD 50,000 in 2018
New data released by the US Bureau of Labor Statistics (BLS) indicate continued wage growth for Translators and Interpreters based in the United States. Continue reading
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Honyaku Shares Fall Despite Record Full-Year Revenues
Japan’s Honyaku Center grows top and bottom line for the third year in a row as revenues reach USD 109.5m and operating income registers at USD 8.2m for the fiscal year 2019. Continue reading
Machine Translation Largely MIA at Google I/O and Microsoft Build 2019
Google I/O and Microsoft Build 2019 were short on big language tech reveals, although relevant announcements and previews were sprinkled throughout both events. Continue reading
Researchers Run User Study on MT Post-Editing’s Most Promising Alternative
Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to MT post-editing when powered by neural instead of statistical MT. Continue reading
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Inside Translation, Localization, and NLP on GitHub, the World’s #1 Code Sharing Site
Over two dozen charts and tables and high-level visualizations as well as analysis of GitHub code repositories relevant to the language industry. Continue reading
At F8: Facebook Says It Now Has a ‘Powerful Tool to Think About Language Problems in a Language Agnostic Way’
Natural language processing and neural MT feature heavily as Facebook discusses developments in artificial intelligence at their developer conference F8 2019. Continue reading
Terminology Assistance Coming to a Simultaneous Interpreter Near You
Real-time terminology assistance for simultaneous interpreters may be well on its way — but will it be truly useful in typical high-stakes environments? Continue reading
The State of Neural Machine Translation for Asian Languages
Asian languages present unique challenges for NMT researchers, and a key to unlock emerging economies for providers. How far along is NMT for Asian languages? Continue reading
Behold, the Translatotron! Google’s Latest Move in Speech Translation
Google researchers approach speech-to-speech translation a little differently in a proof-of-concept that completely takes away reference text, but underperforms compared to existing models. Continue reading
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