No Post-Editing Output: Microsoft Releases Massive Machine Translation Test Set
Microsoft’s NTREX-128, the second largest human-translated test set, is another benchmark for the evaluation of massively multilingual machine translation research.
Maria Stasimioti
Research Analyst at Slator. Based in Athens, Greece.
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.
EU’s DG CONNECT Awards EUR 8m Contract for Language Data Platform
EU’s DG CONNECT awards a EUR 8m contract to create a platform and marketplace for multilingual language data sharing and exchange.
The Language Industry’s Key Hires of 2022
The global language industry remained surprisingly resilient in 2022, with nine CEO appointments at language services and tech providers as well as several C-level and VP hires, as reported by Slator.
Intento CEO Outlines Seven Stages of Machine Translation Adoption
At SlatorCon Remote December 2022, Konstantin Savenkov, CEO at Intento, on machine translation bottlenecks, value drivers, ROI, and the future of the global language market.
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.
How Fast Can You Post-Edit Machine Translation?
All you need to know about how you score against postediting translation speed standards and the factors affecting your performance.
Here Are the Winners of the 2022 EST Translation Prize
European Society for Translation Studies names three projects with the greatest potential impact on the field, awarding them the 2022 Translation Prize.
How Good Are Large Language Models at Machine Translation?
Very fluent but not yet highly accurate — this is how Google researchers describe machine translation performance of large language models versus state-of-the-art MT.
Meta Releases Large Dataset for Multilingual Speech-to-Speech Translation
Meta has released SpeechMatrix, a large-scale mined corpus of multilingual speech-to-speech translations.
European Parliament Should Support Digital Language Equality, Expert Group Says
Experts in language technology from ADAPT urge European Parliament to support language equality and prevent digital extinction of minority languages.
How Europe’s Second Largest Bank Built Multilingual Machine Translation In-House
BNP Paribas, Europe’s second largest bank, applies domain adaptation for multilingual neural machine translation models — without excessive loss of knowledge across language pairs.
Boosting Translator Employability: European MA in Translation Framework Updated
The European Master’s in Translation competence framework has been updated and aims to best equip future translation graduates and increase their employability across Europe.
What It Takes to Get Hired as an In-House Translator at a Large Company
Large companies require translators to have core disciplinary knowledge, strong technical, intra- and interpersonal skills to remain competitive in the job market.
Here Are the Language Highlights from the Popular ‘State of AI Report 2022’
Snapshot of the most interesting language technology highlights from the latest edition of the State of AI Report compiled by a group of venture capitalists and researchers.
Meta Reveals How ‘Toxic’ Machine Translation Can Be
Researchers from Meta suggest training-data curation as a means to reduce added toxicity in machine translation. Toxicity categories include profanity, insults, hate speech, bullying, etc.
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.
Why Quality Estimation Should Be Fundamental to Machine Translation
What you need to know about machine translation quality estimation (MTQE) — from benefits and challenges to industry adoption — as discussed by Adam Bittlingmayer and Conchita Laguardia.
Here’s What Happened at the ‘New Trends in Translation and Technology’ Conference
NeTTT conference brings together academia, industry, and EU institutions, highlights new trends in translation and technology.
Some UN Interpreters Push Back Hard Against Remote Interpretation
UN interpreters blame technology for the decline in their working conditions. But the benefits of technology are real and should not be ignored by the interpreting community.
AI Organizations Release Best Practices for Deploying Large Language Models
Cohere, OpenAI, and AI21 Labs publish preliminary set of best practices applicable to any organization developing or deploying large language models.
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