Researchers Experiment With Machine Translation to Simplify Medical Language
When researchers experimented with machine translation to simplify medical content for patients, the results were mixed but promising.
NLP
Can Machine Translation Facilitate Better Global Meetings in a Common Language?
Computer researchers at the University of Maryland experiment with machine translation to show how global meetings can be optimized.
Unpacking Multilingual Data Management and Anonymization
Anonymization is on a trajectory to enable widespread monetization of multilingual data. Pangeanic CEO Manuel Herranz and CTO Amando Estela tell us how.
Yasmin Moslem on Using Large Language Models to Custom Train Machine Translation
Adapt Center’s Yasmin Moslem on how to deploy large language models to generate domain-specific training text for machine translation — and why it matters for LSPs.
Can ‘Huge Amounts’ of Synthetic In-Domain Data Improve Machine Translation?
Machine translation researchers at Ireland’s Adapt Center propose a new approach to domain-specific MT training using back-translation for data augmentation.
Slator Interpreting Services and Technology Report
60-page report on the growth industry of interpreting, featuring analysis by mode, setting, geo, buyers, business use cases, RSI, OPI, VRI. Incl. market size estimate.
Automation Leader UiPath Bolts On Text Mining Startup Re:infer
UiPath acquires AI startup Re:infer, adding communications mining expertise to robotic process automation capabilities.
Here Are 5 NLP Terms That Now Occur Naturally in Localization
NLP technologies drive the evolution of localization, turning jargon into common terms used to manage today’s ops and tomorrow’s strategic plans. Here are five NLP terms.
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.
Research on Automatic Correction of Human Translation Wins Award
Natural language processing scientists from Lilt train model on human translation errors. The goal, to automate the correction of human translations.
Lingua Custodia Lab Publishes Their Latest Research on NLP
Lingua Custodia Lab team present their NLP research article “Approach to integrating terminology constraints into neural translation models” which has been selected for publication.
Meta Doubles Down on Direct Speech-to-Speech Translation
Meta eliminates text generation in speech to speech translation; shares code and research with the public.
Large Language Models May Leak Personal Data, Studies Show
Large pretrained language models (PLMs) memorize lots of personal data. Researchers examine data privacy risks associated with PLMs, propose solutions.
Reader Polls: New Ways to Post-Edit Machine Translation
Could a mouse-less, keyboard-less future be in the cards for translators? Slator readers weigh in on this and other developments in language technology.
Amazon Unveils Long-Term Goal in Natural Language Processing
Amazon presents three ways it hopes to extend current natural language processing R&D beyond just a small subset of the world's 7,000+ languages.
Low Resource, High Potential — NeuralSpace CEO Felix Laumann on Democratizing NLP
NeuralSpace CEO, Felix Laumann, joins the pod to discuss how they overcome the lack of research, data, and tools when training NLP models in low-resource languages.
Low-Resource Language API Platform NeuralSpace Raises USD 1.7m in Seed Round
SaaS platform, designed for software and app developers with limited knowledge of NLP, valued at USD 11m; advocates “voice-first” approach for end-users in developing countries.
Meta Unveils Supercomputer to Power Translation in the Metaverse
Meta shoots for completing world’s fastest supercomputer by mid-2022. Here’s what it can do in terms of natural language processing and translation — and what the facility looks like today.
For Dataset Creation, Humans Should Evaluate Machine Text — New Research
As more language service providers explore data collection and annotation, a new study shows large language models generate more diverse content, while humans excel at rating it.
Blazing-Fast Machine Translation With Kenneth Heafield
University of Edinburgh’s Kenneth Heafield joins the Pod to discuss translation efficiency, quality research, and industry vs. academia. Plus: Anna Wyndham on 10 areas where translators remain essential experts in the loop.
Indian SaaS Translation Startup, Devnagri, Closes USD 0.6m Seed Round
Indian language human+AI translation platform, Devnagri, raises USD 600,000 to help businesses reach one billion Indians in their own regional language. CEO reveals what’s next after text translation.
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