Over 300 Language Experts Made the ‘Most Cited Scientists List’
Public database ranks scientists based on number of citations. Over 300 language experts among the most quoted.
natural language processing
Cohere Co-founder Nick Frosst on Building the NLP Platform of the Future
Nick Frosst on his journey to co-founding Cohere, which aims to become the default platform for NLP development; and what he thinks of the latest breakthroughs in generative AI.
We Asked ChatGPT Questions About the Language Industry…It Had a Lot to Say
OpenAI disrupts the AI and LLM space once again with ChatGPT, reaching over one million users in just five days. See what the app told Slator about the language industry.
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.
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.
Slator Pro Guide: Finding Growth in Adjacent Services
Pro Guide for LSPs to identify growth opportunities in adjacent services. Profiles 15 adjacent services, analyzing barriers to entry, risks, and synergies.
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.
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.
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.
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.
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.
TransLinguist – a Disruptive AI Driven Player in the Remote Interpreting Market
TransLinguist has launched a unique artificially intelligent product (SaaS) that bridges the communication gap between a global audience and accommodates remote interpretations of all types under one user-friendly solution.
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.
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.
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.
Inside DeepL and Welocalize VP Olga Beregovaya on Language Tech Evolution
Unpacking DeepL’s turbo growth; and Welocalize AI Innovation VP, Olga Beregovaya, joins the Pod to discuss the evolution of NLP, the state of AI, and global content transformation.
Facebook Takes a Stab at True Speech-to-Speech Translation via Textless NLP
Facebook sees textless natural language processing (NLP) as rendering automatic speech translation (ASR) obsolete by working in true end-to-end fashion: from speech input to speech output.
Pangeanic Plunges into the Japanese Market with Business Interactive Japan Takeover
Over the past two years, Pangeanic has successfully intensified its presence in the Japanese market
Chinese Machine Translation and NLP Startup Zhongke Fanyu Completes Series A
Chinese MT and NLP provider Zhongke Fanyu raises substantial funding from domestic VCs, Neovision Capital and JC Capital, with custom translation engines, translation API, and post-editing tools.
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