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.
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 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.
Meta eliminates text generation in speech to speech translation; shares code and research with the public.
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 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.
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.
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 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.
Over the past two years, Pangeanic has successfully intensified its presence in the Japanese market
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.
Translators should start learning how to write computer code, said the majority of poll respondents. But nearly half believe that creative machine translation is a non-starter.
Students of linguistics will likely run into Python, the most popular programming language for learning translation technology today given its user-friendliness and ubiquity.
Hugging Face raises USD 40m series B to grow its natural language processing platform, which includes machine translation models.
Scientists propose new system to standardize automatic evaluation of NLP systems by adding humans in the loop; encourage fellow researchers to submit text generation models for evaluation.
Flitto provides multilingual corpus, speech, and image data to train AI engines in 25 different languages, covering a number of domains including conversational, colloquial, and medical.
AI21 Labs, maker of Wordtune, raises USD 25m in funding. Brings total funds raised to USD 34.5m, after previous 2019 seed round. Both rounds led by Israel-based VC, Pitango First.
“Inter-Language Vector Space is a revolutionary approach to L10N AI, on par with Neural MT.”
Language services provider to the US government SOS International (SOSi) acquires minority stake in machine translation and speech recognition provider AppTek.
Over 60 contributors in 15 African countries are gathering data and developing machine translation models to translate the Internet into indigenous languages.
Michal Antczak, Head of Localization Technology at PayPal, urges SlatorCon Amsterdam 2019 attendees to think beyond standard pitches and customize solutions for end users.