Facebook Researchers Say Machine Translation Quality Estimation Lacking
New research suggests biases of QE datasets lead to guesstimates on machine translation quality. Researchers propose modified dataset, debut it at WMT 2020. Continue reading
Tag: PEMT
Salesforce Just Open-Sourced a Large, XML-Tagged Machine Translation Dataset
Salesforce research on speeding up the work of post-editors by training MT engines with XML tags culminates in a 17-language online help dataset published on Github. Continue reading
Survey Reveals Impact of Covid-19 on Europe’s Language Industry
European Language Industry Survey 2020 reveals what’s top of mind for language service providers and freelancers amid current coronavirus crisis. Continue reading
Which Engines Work for Me? Machine Translation as a Managed Service at One Hour Translation
At SlatorCon Amsterdam 2019, One Hour Translation’s Yaron Kaufman shared his strategy for showing customers why now is the time to adopt machine translation. Continue reading
Reader Polls: Rev Pay Cut, Shift to Hourly Rates, Edit Distance, Translation Regulations
LSPs moving toward hourly rates for linguists? Edit distance a viable metric long-term? Are regulations important to translation demand? Will Rev recover from bad press over transcriptionist pay cuts? Continue reading
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A Gen Z Take on Preparing Translation Students for the Realities of the Language Industry
As the language industry becomes more and more competitive, what are universities doing to ensure that their translation students are ready to enter the marketplace? Continue reading
A Quick Primer on Edit-Distance, a Key Metric in Post-Editing Machine Translation
As the language industry transitions to an operating model where the first draft is mostly generated by machines, many are looking for ways to quantify linguists' value-add. Edit-distance can help. Continue reading
UN to Host Bake-Off for Remote Interpreting Platforms, NMT, Speech-to-Text
UN asks vendors to pitch solutions for remote interpreting, neural machine translation, speech-to-text, etc. to secure one of 25 spots at January 2020 conferencing tech fair in Geneva. Continue reading
German LSP lengoo Raises EUR 6.0m Series A from Redalpine, Angel Investors
Germany-based language service provider lengoo secures EUR 6.0m in Series A funding, targets scale with NMT and post-editing for mature enterprise customers. Continue reading
What Makes a Good Post-Editor: Research Examines Activity Patterns of over 300 Linguists
Characterizing post-editors based on their keystrokes, mouse activity, and other editing actions can help predict speed and, eventually, quality, says a new paper by Unbabel researchers. Continue reading
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Supreme Court of India Begins Translating Judgments Into Indian Languages
The apex court is said to be using “translation software” to translate judgments into six Indian languages — a first in India, where the language of the law is still largely English. Continue reading
Yes, Post-Editese Is Real, Study Finds
Post-editing machine translation versus unaided human translation from scratch — new research reveals how the output differs. Continue reading
Language Industry Hires at Diuna, IYUNO, Unbabel, Global Lingo, and Anzu Global
Diuna names a CTO; IYUNO, a Global Dubbing VP; Unbabel adds a VP of CX and a Linguistic Services Director; Global Lingo hires a Business Dev Director; and Anzu Global, a Globalization Account Manager. Continue reading
MT Post-Editing Boosts Swiss Bank’s Translation Productivity by Up to 60%, Study Finds
Study examines impact of machine translation post-editing on productivity of in-house translators at Switzerland’s Migros Bank. Continue reading
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
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