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08/17/2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforcement learning from human feedback (RLHF) can improve the qualit...
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12/19/2022
Mu^2SLAM: Multitask, Multilingual Speech and Language Models
We present Mu^2SLAM, a multilingual sequence-to-sequence model pre-train...
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05/09/2022
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machi...
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03/15/2022
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation
Multilingual neural machine translation models are trained to maximize t...
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06/08/2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Self-supervised pre-training of text representations has been successful...
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04/29/2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Human evaluation of modern high-quality machine translation systems is a...
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09/23/2020
KoBE: Knowledge-Based Machine Translation Evaluation
We propose a simple and effective method for machine translation evaluat...
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06/21/2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
In this paper, we propose a new adversarial augmentation method for Neur...
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04/07/2020
Re-translation versus Streaming for Simultaneous Translation
There has been great progress in improving streaming machine translation...
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12/06/2019
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
We investigate the problem of simultaneous machine translation of long-f...
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07/11/2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
We introduce our efforts towards building a universal neural machine tra...
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06/12/2019
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Simultaneous machine translation begins to translate each source sentenc...
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06/06/2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Neural machine translation (NMT) often suffers from the vulnerability to...
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04/12/2019
Direct speech-to-speech translation with a sequence-to-sequence model
We present an attention-based sequence-to-sequence neural network which ...
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03/17/2019
The Missing Ingredient in Zero-Shot Neural Machine Translation
Multilingual Neural Machine Translation (NMT) models are capable of tran...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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11/05/2018
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation
End-to-end Speech Translation (ST) models have many potential advantages...
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09/12/2018
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation
Transferring representations from large supervised tasks to downstream t...
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08/29/2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Translating characters instead of words or word-fragments has the potent...
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04/26/2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
The past year has witnessed rapid advances in sequence-to-sequence (seq2...
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09/26/2016