Vishrav Chaudhary

Menlo Park, United States

Vishrav Chaudhary is a Research Engineer at Facebook AI Research (FAIR). His research has been focused on several aspects of Machine Translation including Low-Resource translation and Quality Estimation, Cross-lingual understanding, Transfer Learning, Efficient model architectures and Domain Adaptation. Before joining Facebook in 2017, Vishrav finished his graduate studies from the Language Technologies Institute (LTI) of Carnegie Mellon University (CMU). Prior to that, he worked at D.E.Shaw in the field of Computational Finance and Large Scale Distributed Systems from 2012-2015.

Vishrav's Work

Vishrav's Publications

April 22, 2021

NLP

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu GongFrancisco Guzman

April 22, 2021

August 02, 2019

RESEARCH

NLP

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Vishrav Chaudhary, Yuqing Tang, Francisco (Paco) Guzmán, Holger Schwenk, Philipp Koehn

August 02, 2019

August 02, 2019

RESEARCH

NLP

Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions

Philipp Koehn, Francisco (Paco) Guzmán, Vishrav Chaudhary, Juan Pino

August 02, 2019

August 31, 2020

RESEARCH

NLP

Unsupervised Quality Estimation for Neural Machine Translation

Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia

August 31, 2020

October 18, 2020

RESEARCH

NLP

Beyond English-Centric Multilingual Machine Translation

Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin

October 18, 2020

November 16, 2020

NLP

RESEARCH

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs

Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn

November 16, 2020

June 01, 2021

RESEARCH

NLP

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc’Aurelio Ranzato, Francisco Guzmán, Angela Fan

June 01, 2021

October 31, 2019

RESEARCH

NLP

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English

Francisco (Paco) Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato

October 31, 2019

October 31, 2019

RESEARCH

NLP

Facebook AI's WAT19 Myanmar-English Translation Task Submission

Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc’Aurelio Ranzato

October 31, 2019