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.
Research Areas
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
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