b'Mingbo Ma'

MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
10/22/2020 ∙ by Junkun Chen, et al. ∙ 5 ∙ share

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Improving Simultaneous Translation with Pseudo References

Simultaneous translation is vastly different from full-sentence translat...
10/21/2020 ∙ by Junkun Chen, et al. ∙ 2 ∙ share

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Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training

Simultaneous speech-to-speech translation is widely useful but extremely...
10/20/2020 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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Opportunistic Decoding with Timely Correction for Simultaneous Translation

Simultaneous translation has many important application scenarios and at...
05/02/2020 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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Simultaneous Translation Policies: From Fixed to Adaptive

Adaptive policies are better than fixed policies for simultaneous transl...
04/27/2020 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

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Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...
11/07/2019 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Machine Translation in Pronunciation Space

The research in machine translation community focus on translation in te...
11/03/2019 ∙ by Hairong Liu, et al. ∙ 0 ∙ share

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Speculative Beam Search for Simultaneous Translation

Beam search is universally used in full-sentence translation but its app...
09/12/2019 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Simultaneous translation is widely useful but remains challenging. Previ...
09/04/2019 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

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Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report

This paper describes the machine translation system developed jointly by...
06/19/2019 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Simultaneous translation is widely useful but remains one of the most di...
06/04/2019 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

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Learning to Stop in Structured Prediction for Neural Machine Translation

Beam search optimization resolves many issues in neural machine translat...
04/01/2019 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

Simultaneous translation, which translates sentences before they are fin...
10/19/2018 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

Neural machine translation (NMT) is notoriously sensitive to noises, but...
10/15/2018 ∙ by Hairong Liu, et al. ∙ 0 ∙ share

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When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

In neural text generation such as neural machine translation, summarizat...
08/31/2018 ∙ by Liang Huang, et al. ∙ 0 ∙ share

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Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report

This paper describes multimodal machine translation systems developed jo...
08/31/2018 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

Beam search is widely used in neural machine translation, and usually im...
08/28/2018 ∙ by Yilin Yang, et al. ∙ 1 ∙ share

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Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation

Neural text generation, including neural machine translation, image capt...
08/28/2018 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

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OSU Multimodal Machine Translation System Report

This paper describes Oregon State University's submissions to the shared...
10/07/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Group Sparse CNNs for Question Classification with Answer Sets

Question classification is an important task with wide applications. How...
10/07/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Sentence-level classification and sequential labeling are two fundamenta...
09/28/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Textual Entailment with Structured Attentions and Composition

Deep learning techniques are increasingly popular in the textual entailm...
01/04/2017 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Classify or Select: Neural Architectures for Extractive Document Summarization

We present two novel and contrasting Recurrent Neural Network (RNN) base...
11/14/2016 ∙ by Ramesh Nallapati, et al. ∙ 0 ∙ share

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Dependency-based Convolutional Neural Networks for Sentence Embedding

In sentence modeling and classification, convolutional neural network ap...
07/07/2015 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Mingbo Ma

Featured Co-authors

Bowen Zhou

Liang Huang

Bing Xiang

Haifeng Wang

Kai Zhao

Ramesh Nallapati

Renjie Zheng

Xing Li

Hairong Liu

Hao Xiong

Zhongjun He

MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

Improving Simultaneous Translation with Pseudo References

Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training

Opportunistic Decoding with Timely Correction for Simultaneous Translation

Simultaneous Translation Policies: From Fixed to Adaptive

Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework

Machine Translation in Pronunciation Space

Speculative Beam Search for Simultaneous Translation

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Learning to Stop in Structured Prediction for Neural Machine Translation

STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report

Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation

OSU Multimodal Machine Translation System Report

Group Sparse CNNs for Question Classification with Answer Sets

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Textual Entailment with Structured Attentions and Composition

Classify or Select: Neural Architectures for Extractive Document Summarization

Dependency-based Convolutional Neural Networks for Sentence Embedding