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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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Improving Simultaneous Translation with Pseudo References
Simultaneous translation is vastly different from full-sentence translat...
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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...
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Opportunistic Decoding with Timely Correction for Simultaneous Translation
Simultaneous translation has many important application scenarios and at...
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Simultaneous Translation Policies: From Fixed to Adaptive
Adaptive policies are better than fixed policies for simultaneous transl...
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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...
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Machine Translation in Pronunciation Space
The research in machine translation community focus on translation in te...
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Speculative Beam Search for Simultaneous Translation
Beam search is universally used in full-sentence translation but its app...
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Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Simultaneous translation is widely useful but remains challenging. Previ...
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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...
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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...
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Learning to Stop in Structured Prediction for Neural Machine Translation
Beam search optimization resolves many issues in neural machine translat...
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STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency
Simultaneous translation, which translates sentences before they are fin...
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Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Neural machine translation (NMT) is notoriously sensitive to noises, but...
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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...
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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...
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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...
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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...
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OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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Group Sparse CNNs for Question Classification with Answer Sets
Question classification is an important task with wide applications. How...
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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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Textual Entailment with Structured Attentions and Composition
Deep learning techniques are increasingly popular in the textual entailm...
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Classify or Select: Neural Architectures for Extractive Document Summarization
We present two novel and contrasting Recurrent Neural Network (RNN) base...
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Dependency-based Convolutional Neural Networks for Sentence Embedding
In sentence modeling and classification, convolutional neural network ap...
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