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"paper_id": "2020", |
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"date_generated": "2023-01-19T02:09:43.747782Z" |
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"title": "", |
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"abstract": [], |
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"text": "Welcome to the First Workshop on Automatic Simultaneous Translation (AutoSimTrans). Simultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. It combines the AI technologies of machine translation (MT), automatic speech recognition (ASR), and text-to-speech synthesis (TTS), and is becoming a cutting-edge research field.", |
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"section": "Introduction", |
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"sec_num": null |
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"text": "As an emerging and interdisciplinary field, simultaneous translation faces many great challenges, and is considered one of the holy grails of AI. This workshop will bring together researchers and practitioners in machine translation, speech processing, and human interpretation, to discuss recent advances and open challenges of simultaneous translation.", |
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"section": "Introduction", |
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"sec_num": null |
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}, |
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"text": "We organized a simultaneous translation shared task on Chinese-English. We released a dataset for open research, which covers speeches in a wide range of domains, such as IT, economy, culture, biology, arts, etc.", |
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"section": "Introduction", |
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"sec_num": null |
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"text": "We also have two sets of keynote speakers: Hua Wu, Colin Cherry, Jordan Boyd-Graber, Qun Liu from simultaneous translation, Kay-Fan Cheung and Barry Slaughter Olsen from human interpretation research. We hope this workshop will greatly increase the communication and crossfertilization between the two fields.", |
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"section": "Introduction", |
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"sec_num": null |
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}, |
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"text": "We look forward to an exciting workshop. ", |
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"section": "Introduction", |
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"sec_num": null |
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} |
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], |
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"back_matter": [], |
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"bib_entries": { |
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"ref_id": "b0", |
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"title": "40 Dynamic Sentence Boundary Detection for Simultaneous Translation Ruiqing Zhang and Chuanqiang Zhang", |
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"authors": [ |
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{ |
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"first": "", |
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"middle": [], |
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"last": "Friday ; Xiang", |
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}, |
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{ |
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"first": "Jiarui", |
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"middle": [], |
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"last": "Li", |
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}, |
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{ |
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"first": "Chulun", |
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"middle": [], |
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"last": "Zhang", |
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}, |
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{ |
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"first": "Jianwei", |
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"middle": [], |
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"last": "Zhou", |
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"first": "", |
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"middle": [], |
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"last": "Cui", |
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], |
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"year": 2020, |
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"venue": "", |
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"volume": "8", |
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"issue": "", |
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"pages": "0--20", |
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"num": null, |
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"raw_text": "Friday, July 10, 2020 8:50-9:00 Opening Remarks 9:00-11:00 Session 1 9:00-9:30 Invited Talk 1: Colin Cherry 9:30-10:00 Invited Talk 2: Barry Slaughter Olsen 10:00-10:30 Invited Talk 3: Jordan Boyd-Graber 10:30-11:00 Q&A 11:00-14:00 Lunch 17:00-19:00 Session 2 17:00-17:30 Invited Talk 4: Hua Wu 17:30-18:00 Invited Talk 5: Kay-Fan Cheung 18:00-18:30 Invited Talk 6: Qun Liu 18:30-19:00 Q&A Friday, July 10, 2020 (continued) 19:00-19:30 Break 19:30-21:00 Session 3: Research Paper and System Description 19:30-19:40 Dynamic Sentence Boundary Detection for Simultaneous Translation Ruiqing Zhang and Chuanqiang Zhang 19:40-19:50 End-to-End Speech Translation with Adversarial Training Xuancai Li, Chen Kehai, Tiejun Zhao and Muyun Yang 19:50-20:00 Robust Neural Machine Translation with ASR Errors Haiyang Xue, Yang Feng, Shuhao Gu and Wei Chen 20:00-20:10 Improving Autoregressive NMT with Non-Autoregressive Model Long Zhou, Jiajun Zhang and Chengqing Zong 20:10-20:20 Modeling Discourse Structure for Document-level Neural Machine Translation Junxuan Chen, Xiang Li, Jiarui Zhang, Chulun Zhou, Jianwei Cui, Bin Wang and Jinsong Su 20:20-20:30 BIT's system for the AutoSimTrans 2020", |
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"text": "Hua Wu, Colin Cherry, Liang Huang, Zhongjun He, Mark Liberman, James Cross, Yang Liu", |
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"content": "<table><tr><td>Organizers:</td></tr><tr><td>Hua Wu, Baidu Inc.</td></tr><tr><td>Colin Cherry, Google</td></tr><tr><td>Liang Huang, Oregon State University and Baidu Research</td></tr><tr><td>Zhongjun He, Baidu Inc.</td></tr><tr><td>Mark Liberman, University of Pennsylvania</td></tr><tr><td>James Cross, Facebook</td></tr><tr><td>Yang Liu, Tsinghua University</td></tr></table>" |
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