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Game developer and publisher Goodgame Studios considers localization an integral part of the development process. Localization Manager credits “great collaboration” with LSPs for high language volumes not being a problem.
Google is concerned it might be mistakenly assuming genders in machine translation; initial effort to reduce gender bias only the first step in dealing with similar challenges in neural machine translation.
US research agency IARPA is conducting an open competition under one of its main programs that challenges participants to build a system where users search audio and text documents in low-resource languages using English queries.
A rundown of the translation and interpretation gadgets and earpieces presented at the 2019 Consumer Electronics Show (CES) in Las Vegas.
Charging clients per word but paying translators by the hour? Most anticipated language industry conferences? Top NMT contender DeepL’s fate in the next three years? And which megatrends will shape the market in 2019? Here are the results of our poll.
Google I/O 2021 unveils key developments relating to language technology — from assisted writing to new and powerful language models.
Students of linguistics will likely run into Python, the most popular programming language for learning translation technology today given its user-friendliness and ubiquity.
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.
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.
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.
New data released by the US Bureau of Labor Statistics (BLS) indicate continued wage growth for Translators and Interpreters based in the United States.
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.
Google I/O and Microsoft Build 2019 were short on big language tech reveals, although relevant announcements and previews were sprinkled throughout both events.
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.
Over two dozen charts and tables and high-level visualizations as well as analysis of GitHub code repositories relevant to the language industry.
Natural language processing and neural MT feature heavily as Facebook discusses developments in artificial intelligence at their developer conference F8 2019.
Real-time terminology assistance for simultaneous interpreters may be well on its way — but will it be truly useful in typical high-stakes environments?
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?
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.
AI-based transcription provider Trint has increased its total funding raised to USD 7.8m, with the unique twist of adding NMT into its platform to allow multilingual content distribution.
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