Natural Language Processing & Speech

Breaking down language barriers

We want to break down language barriers across the world for everyone to understand and communicate with anyone—no matter what language you speak.

Our natural language processing and speech researchers focus on the interaction between people and computers using human languages, both in diverse written and spoken forms, to remove the barrier of language from the ability to communicate. The challenges are immense, from the billions of users on Facebook across the 6,000 languages in the world—some even without a writing system, to the informal tone, slang and typos people use on Facebook. Our researchers work on the complex problems that span deep learning/neural networks, natural language processing, language identification, text normalization, word sense disambiguation, and machine learning, to break down the problems, and build and deploy robust language translation solutions.

Latest Publications

All Publications

IEEE Spoken Language Technology Workshop (SLT) - January 9, 2022

Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR

Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig

IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) - December 13, 2021

Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition

Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

NeurIPS - December 9, 2021

Unsupervised Speech Recognition

Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli

NeurIPS - December 5, 2021

Interpretable agent communication from scratch (with a generic visual processor emerging on the side)

Roberto Dessì, Eugene Kharitonov, Marco Baroni

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