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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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12/15/2022
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units
Direct speech-to-speech translation (S2ST), in which all components can ...
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10/26/2022
Improving Speech-to-Speech Translation Through Unlabeled Text
Direct speech-to-speech translation (S2ST) is among the most challenging...
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10/21/2022
Named Entity Detection and Injection for Direct Speech Translation
In a sentence, certain words are critical for its semantic. Among them, ...
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10/18/2022
Simple and Effective Unsupervised Speech Translation
The amount of labeled data to train models for speech tasks is limited f...
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04/01/2022
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models
In many natural language processing (NLP) tasks the same input (e.g. sou...
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12/16/2021
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
Neural autoregressive sequence models smear the probability among many p...
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06/10/2021
Mode recovery in neural autoregressive sequence modeling
Despite its wide use, recent studies have revealed unexpected and undesi...
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02/06/2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Despite strong performance on a variety of tasks, neural sequence models...
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11/10/2019
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
Generative dialogue models currently suffer from a number of problems wh...
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08/12/2019
Neural Text Generation with Unlikelihood Training
Neural text generation is a key tool in natural language applications, b...
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06/01/2019