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

ICASSP - June 6, 2021

Multi-Channel Speech Enhancement Using Graph Neural Networks

Panagiotis Tzirakis, Anurag Kumar, Jacob Donley

ICLR - March 17, 2021

MixKD: Towards Efficient Distillation of Large-Scale Language Models

Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin

COLING - December 8, 2020

Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming

Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard

COLING - December 8, 2020

Online Versus Offline NMT Quality: An In-depth Analysis on English–German and German–English

Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier, Francis Brunet Manquat, Jakob Verbeek, Laurent Besacier

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