Melvin Johnson
Melvin Johnson joined Google in 2015 where he works on Machine Translation and Natural Language Processing.
Before Google, Melvin obtained a Masters degree in Computer Science from Stanford University where he worked with Prof. Chris Manning.
Before Google, Melvin obtained a Masters degree in Computer Science from Stanford University where he worked with Prof. Chris Manning.
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Authored Publications
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XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Sebastian Ruder
Mihir Sanjay Kale
Shruti Rijhwani
Jean-Michel Sarr
Cindy Wang
John Wieting
Christo Kirov
Dana L. Dickinson
Bidisha Samanta
Connie Tao
David Adelani
Reeve Ingle
Dmitry Panteleev
Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, pp. 1856-1884
XTREME-S: Evaluating Cross-lingual Speech Representations
Clara E. Rivera
Mihir Sanjay Kale
Sebastian Ruder
Simran Khanuja
Ye Jia
Yu Zhang
Proc. Interspeech 2022
MergeDistill: Merging Pre-trained Language Models using Distillation
Simran Khanuja
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
Linting Xue
Mihir Sanjay Kale
Rami Al-Rfou
Annual Meeting of the Association for Computational Linguistics (ACL) (2021) (to appear)
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
Henry Tsai
Naveen Ari
AAAI 2020 (2020)
Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia
Zhifeng Chen
Yonghui Wu
Interspeech (2019)
