Speechless Recognition: Can AI Transcribe a Language It Has Never Heard?
Breakthroughs in multilingual speech models are rapidly expanding language coverage for ASR. But what about...
#low-resource languages
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Working Around Machine Translation’s Need for Large-Scale Training Data
Unlike some fields in machine learning, machine translation still requires large sets of training data....
Synthetic Data Can Improve Machine Translation – New Research from IBM, UCSD
New research from IBM and UC San Diego explores synthetic parallel data as a means...
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...
More Than Hype: Meta Reveals Two-Pronged Machine Translation Roadmap
Part of the billions of dollars going into the Metaverse will undoubtedly go into these...
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...
Facebook Says This Is the Culmination of Years of Work in Machine Translation
The new machine translation model, trained on 2,200 language directions, builds on Facebook’s past research...
US Coast Guard Moves Ahead With Hyper-Ambitious “Language Translator” RFP
US Department of Homeland Security awards California startup in Phase 1 of RFP for “portable...
TWB, Big Tech, Academia Take on Covid-19 Language Challenge
Collaboration between Amazon, Facebook, Google, Microsoft, etc., and Translators Without Borders aims to fight Covid-19...
US Coast Guard Opens RFP to Replace ‘Human Translator’ with ‘Portable Translator’
US Department of Homeland Security launches RFP for “portable language translator” device to replace “on-scene...
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...