Discover what’s new in the field of natural language processing, from ground-breaking research in academia to Big Tech’s developments.
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.
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.
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.
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.
Amazon’s third Amazon Research Awards picked 49 out of over 800 submissions and will be awarding research groups up to USD 80,000 each for their projects. Six submissions directly relate to natural language processing or neural machine translation.
Virtual assistants are already part of the e-commerce setting, but taking them multilingual and training them for conversations with multiple variables still poses challenges.
Natural language processing and neural MT feature heavily as Facebook discusses developments in artificial intelligence at their developer conference F8 2019.
As NLP developments march on unabated, recent news reflects the state of research, investor excitement, and production deployment levels for current technologies.
Language industry startups Unbabel and Lilt took to the stage at one of Europe’s largest machine learning conferences and explained how they build atop evermore sophisticated AI tech.
Google just launched a paid, cloud-based natural language processing service that offers entity recognition, sentiment analysis, and syntax analysis. Exclusive analysis by Expert System CTO Marco Varone, LT-Innovate Chairman Jochen Hummel, and industry analyst Seth Grimes.
Is the market for natural language processing worth USD 277m or USD 6bn? What is behind the widely differing market size estimates in a space so central to innovation in language services and technology?
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