And the Winner Is...ACL 2020 Announces Best Paper Awards
Association for Computational Linguistics names Best Research Papers of 2020 from a field of more than 3,000 submissions; paper that argues for retiring BLEU is runner-up.
Academia
How academic institutions educate and shape tomorrow’s business leaders and technologists
Carnegie Mellon, Leader in Machine Translation, Launches MA Program in (Human) Translation
Top US university Carnegie Mellon, known for its natural language processing and neural machine translation research, has launched a new Master’s program in Global Communication and Applied Translation, designed to train translators of the future.
Translators at Heart of EU’s ‘Colorful Diversity’ — Juvenes Translatores Winners Honored
European Commission celebrates 27 young translators in 15th edition of annual translation contest; winning students encouraged to pursue future in translation.
Here’s What Happened at the World’s Biggest Machine Translation Conference
As AI is booming, the world’s largest natural language processing conference doubled in size this year and attracted 2,500 researchers. Global tech companies came looking for fresh talent. And research teams from across the globe battled it out on shared machine translation tasks.
The Art of Hyping Machine Translation
What’s behind the arcane research paper that Baidu helped spin into a machine translation breakthrough celebrated across the media?
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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.
Yale to Offer Degree in Translation Studies From 2022
Ivy League university, Yale, to launch Translation Studies program. Courses open to all students, regardless of major, beginning spring 2022.
Can You Translate ‘Uncatalogued Ephemera’? Winners of 14th Juvenes Translatores Named
European Commission names 27 winners of Juvenes Translatores 2020–2021, who worked on translating ‘eyelids drooping,’ ‘scraped together,’ and other challenging bits from a diary entry from the future.
MIT Tackles the Ultimate Low-Resource Machine Translation Challenge
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) derives algorithm to handle lack of training data, making it easier to adopt current machine translation methods.
New Research: Do Translation Equivalents Really Mean the Same Thing?
Group led by Princeton Computer Scientist runs large-scale analysis in 41 languages across 10 language families to determine semantic alignment between languages.
‘Translation Opens the Door to Various Worlds’ — Winners of 13th Juvenes Translatores Announced
European Commission announces 28 winners of 2019–2020 edition of annual competition that draws the best young translators from all over the EU.
The Winning Papers from the World’s Largest Natural Language Processing Conference
The world’s largest NLP conference, EMNLP, announces the winners of the 2019 awards for Best Paper, Best Paper Runner-Up, Best Demo Paper and Best Resource Paper.
Researchers Propose New Way to Detect Machine Translation — Maybe Google Could Use It
Google has admitted machine translated content is a challenge to ranking algorithms. Researchers at the University of Tokyo may have found a solution: back-translation.
NMT for Subtitling Could Work Without Specialized Training, Study Finds
As demand for media loc strains suppliers, there is a case for automation. Research finds NMT might be used for subtitles without special training.
Yes, Post-Editese Is Real, Study Finds
Post-editing machine translation versus unaided human translation from scratch — new research reveals how the output differs.
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.
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.
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.
Survey Examines Machine Translation Post-Editing Among Freelancers and LSPs
The results of two post-editing of machine translation surveys shine a light on the opinions of practitioners (post-editors and LSPs) on post-editing.
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?
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