Skip to content

Melvin Johnson

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

19

Venues

8

Active years

2018–2023

Best venue rank

A*

Where they publish

Papers

19 indexed papers, newest first.

YearVenueTitleAuthors
2023EMNLPXTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar
2023ICMLMuYong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna
2023ICMLThe Unreasonable Effectiveness of Few-shot Learning for Machine Translation.Xavier Garcia, Yamini Bansal, Colin Cherry, George F. Foster, Maxim Krikun, Melvin Johnson, Orhan Firat
2022ACLMultilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents.Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat
2022InterspeechXTREME-S: Evaluating Cross-lingual Speech Representations.Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
2022NAACLDOCmT5: Document-Level Pretraining of Multilingual Language Models.Chia-Hsuan Lee, Aditya Siddhant, Viresh Ratnakar, Melvin Johnson
2021ACLnmT5 - Is parallel data still relevant for pre-training massively multilingual language models?Mihir Kale, Aditya Siddhant, Rami Al-Rfou, Linting Xue, Noah Constant, Melvin Johnson
2021ACLMergeDistill: Merging Language Models using Pre-trained Distillation.Simran Khanuja, Melvin Johnson, Partha P. Talukdar
2021EMNLPHintedBT: Augmenting Back-Translation with Quality and Transliteration Hints.Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
2021EMNLPXTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson
2021ICLRRethinking Embedding Coupling in Pre-trained Language Models.Hyung Won Chung, Thibault Fvry, Henry Tsai, Melvin Johnson, Sebastian Ruder
2021NAACLExplicit Alignment Objectives for Multilingual Bidirectional Encoders.Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig
2020AAAIEvaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
2020ICMLXTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation.Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson
2019EMNLPSmall and Practical BERT Models for Sequence Labeling.Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer
2019ICASSPLeveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation.Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu
2019InterspeechDirect Speech-to-Speech Translation with a Sequence-to-Sequence Model.Ye Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson, Zhifeng Chen, Yonghui Wu
2019NAACLMassively Multilingual Neural Machine Translation.Roee Aharoni, Melvin Johnson, Orhan Firat
2018ACLThe Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes