Search Results for author: Qianqian Dong

Found 10 papers, 9 papers with code

Learning When to Translate for Streaming Speech

1 code implementation ACL 2022 Qianqian Dong, Yaoming Zhu, Mingxuan Wang, Lei LI

Given a usually long speech sequence, we develop an efficient monotonic segmentation module inside an encoder-decoder model to accumulate acoustic information incrementally and detect proper speech unit boundaries for the input in speech translation task.

Speech-to-Text Translation Translation

The Volctrans Neural Speech Translation System for IWSLT 2021

1 code implementation ACL (IWSLT) 2021 Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei LI

For offline speech translation, our best end-to-end model achieves 8. 1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution.


Consecutive Decoding for Speech-to-text Translation

1 code implementation21 Sep 2020 Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei LI

The key idea is to generate source transcript and target translation text with a single decoder.

Machine Translation speech-recognition +3

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

2 code implementations3 Mar 2020 Liang Xu, Xuanwei Zhang, Qianqian Dong

In this paper, we introduce the Chinese corpus from CLUE organization, CLUECorpus2020, a large-scale corpus that can be used directly for self-supervised learning such as pre-training of a language model, or language generation.

Language Modelling Self-Supervised Learning +1

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

3 code implementations13 Jan 2020 Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang

In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese.

Chinese Named Entity Recognition named-entity-recognition +1

Semi-Supervised Disfluency Detection

no code implementations COLING 2018 Feng Wang, Wei Chen, Zhen Yang, Qianqian Dong, Shuang Xu, Bo Xu

While the disfluency detection has achieved notable success in the past years, it still severely suffers from the data scarcity.

Machine Translation Question Answering

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