activity
20182022
most citedMultilingual Translation with Extensible Multilingual Pretraining and Finetuning

153 citations · 287 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CL20225 cited

Speech-to-Speech Translation For A Real-world Unwritten Language

Peng-Jen Chen, Kevin Tran, Yilin Yang +13

We study speech-to-speech translation (S2ST) that translates speech from one language into another language and focuses on building systems to support languages without standard te…

cs.CL20222 cited

Simple and Effective Unsupervised Speech Translation

Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen +5

The amount of labeled data to train models for speech tasks is limited for most languages, however, the data scarcity is exacerbated for speech translation which requires labeled d…

eess.AS20214 cited

fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit

Changhan Wang, Wei-Ning Hsu, Yossi Adi +5

This paper presents fairseq S^2, a fairseq extension for speech synthesis. We implement a number of autoregressive (AR) and non-AR text-to-speech models, and their multi-speaker va…

cs.CL2021

PermuteFormer: Efficient Relative Position Encoding for Long Sequences

Peng Chen

A recent variation of Transformer, Performer, scales Transformer to longer sequences with a linear attention mechanism. However, it is not compatible with relative position encodin…

cs.CL202182 cited

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

Naman Goyal, Cynthia Gao, Vishrav Chaudhary +7

One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks eithe…

cs.CL202038 cited

Facebook AI's WMT20 News Translation Task Submission

Peng-Jen Chen, Ann Lee, Changhan Wang +4

This paper describes Facebook AI's submission to WMT20 shared news translation task. We focus on the low resource setting and participate in two language pairs, Tamil <-> English a…