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

NAACL - June 6, 2021

Deep Learning on Graphs for Natural Language Processing

Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li

ICASSP - June 6, 2021

A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment

Ju Lin, Yun Wang, Kaustubh Kalgaonkar, Gil Keren, Didi Zhang, Christian Fuegen

ICASSP - June 6, 2021

Multi-Channel Speech Enhancement Using Graph Neural Networks

Panagiotis Tzirakis, Anurag Kumar, Jacob Donley

ICLR - May 4, 2021

Neural Synthesis of Binaural Speech from Mono Audio

Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Butler, Fernando De la Torre, Yaser Sheikh

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