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04/27/2022
Data-Driven Adaptive Simultaneous Machine Translation
In simultaneous translation (SimulMT), the most widely used strategy is ...
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03/18/2022
A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Recently, speech representation learning has improved many speech-relate...
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06/11/2021
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR
Simultaneous speech-to-text translation is widely useful in many scenari...
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02/10/2021
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Recently text and speech representation learning has successfully improv...
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10/22/2020
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation
End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
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10/21/2020
Improving Simultaneous Translation with Pseudo References
Simultaneous translation is vastly different from full-sentence translat...
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10/20/2020
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Simultaneous speech-to-speech translation is widely useful but extremely...
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05/02/2020
Opportunistic Decoding with Timely Correction for Simultaneous Translation
Simultaneous translation has many important application scenarios and at...
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04/27/2020
Simultaneous Translation Policies: From Fixed to Adaptive
Adaptive policies are better than fixed policies for simultaneous transl...
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11/07/2019
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...
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11/03/2019
Machine Translation in Pronunciation Space
The research in machine translation community focus on translation in te...
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09/12/2019
Speculative Beam Search for Simultaneous Translation
Beam search is universally used in full-sentence translation but its app...
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09/04/2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Simultaneous translation is widely useful but remains challenging. Previ...
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06/19/2019
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...
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06/04/2019
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
Simultaneous translation is widely useful but remains one of the most di...
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04/01/2019
Learning to Stop in Structured Prediction for Neural Machine Translation
Beam search optimization resolves many issues in neural machine translat...
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10/19/2018
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency
Simultaneous translation, which translates sentences before they are fin...
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10/15/2018
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Neural machine translation (NMT) is notoriously sensitive to noises, but...
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08/31/2018
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
In neural text generation such as neural machine translation, summarizat...
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08/31/2018
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report
This paper describes multimodal machine translation systems developed jo...
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08/28/2018
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...
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08/28/2018
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation
Neural text generation, including neural machine translation, image capt...
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10/07/2017
OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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10/07/2017
Group Sparse CNNs for Question Classification with Answer Sets
Question classification is an important task with wide applications. How...
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09/28/2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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01/04/2017
Textual Entailment with Structured Attentions and Composition
Deep learning techniques are increasingly popular in the textual entailm...
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11/14/2016
Classify or Select: Neural Architectures for Extractive Document Summarization
We present two novel and contrasting Recurrent Neural Network (RNN) base...
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07/07/2015