| { | |
| "paper_id": "2020", | |
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| "abstract": [], | |
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| "text": "Many Asian countries are rapidly growing these days and the importance of communicating and exchanging the information with these countries has intensified. To satisfy the demand for communication among these countries, machine translation technology is essential.", | |
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| "section": "Preface", | |
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| "text": "Machine translation technology has rapidly evolved recently and it is seeing practical use especially between European languages. However, the translation quality of Asian languages is not that high compared to that of European languages, and machine translation technology for these languages has not reached a stage of proliferation yet. This is not only due to the lack of the language resources for Asian languages but also due to the lack of techniques to correctly transfer the meaning of sentences from/to Asian languages. Consequently, a place for gathering and sharing the resources and knowledge about Asian language translation is necessary to enhance machine translation research for Asian languages.", | |
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| "section": "Preface", | |
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| "text": "The Conference on Machine Translation (WMT), the world's largest machine translation workshop, mainly targets on European languages and does not include Asian languages. The International Workshop on Spoken Language Translation (IWSLT) has spoken language translation tasks for some Asian languages using TED talk data, but there is no task for written language. The Workshop on Asian Translation (WAT) is an open machine translation evaluation campaign focusing on Asian languages. WAT gathers and shares the resources and knowledge of Asian language translation to understand the problems to be solved for the practical use of machine translation technologies among all Asian countries. WAT is unique in that it is an \"open innovation platform\": the test data is fixed and open, so participants can repeat evaluations on the same data and confirm changes in translation accuracy over time. WAT has no deadline for the automatic translation quality evaluation (continuous evaluation), so participants can submit translation results at any time.", | |
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| "text": "Following the success of the previous WAT workshops (WAT2014 -WAT2019), WAT2020 will bring together machine translation researchers and users to try, evaluate, share and discuss brand-new ideas about machine translation. For the 7th WAT, we included 6 new translation subtasks. We had 20 teams participated in the shared tasks and 14 teams submitted their translation results for the human evaluation. About 500 translation results were submitted to the automatic evaluation server, and selected submissions were manually evaluated. In addition to the shared tasks, WAT2020 also features scientific papers on topics related to machine translation, especially for Asian languages. The program committee accepted 6 papers, which focus on neural machine translation, and construction and evaluation of language resources.", | |
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| "text": "We are grateful to \"SunFlare Co., Ltd.\" and \"Asia-Pacific Association for Machine Translation (AAMT)\" for partially sponsoring the workshop. We would like to thank all the authors who submitted papers. We express our deepest gratitude to the committee members for their timely reviews. We also thank the AACL-IJCNLP 2020 organizers for their help with administrative matters.", | |
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| "section": "Preface", | |
| "sec_num": null | |
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| "ref_id": "b1", | |
| "title": "National Institute of Information and Communications Technology (NICT)", | |
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| { | |
| "first": "Chenchen", | |
| "middle": [], | |
| "last": "Ding", | |
| "suffix": "" | |
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| "raw_text": "Chenchen Ding, National Institute of Information and Communications Technology (NICT), Japan", | |
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| "ref_id": "b2", | |
| "title": "National Institute of Information and Communications Technology (NICT)", | |
| "authors": [ | |
| { | |
| "first": "Raj", | |
| "middle": [], | |
| "last": "Dabre", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
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| "raw_text": "Raj Dabre, National Institute of Information and Communications Technology (NICT), Japan", | |
| "links": null | |
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| "ref_id": "b3", | |
| "title": "National Institute of Information and Communications Technology (NICT)", | |
| "authors": [ | |
| { | |
| "first": "Shohei", | |
| "middle": [], | |
| "last": "Higashiyama", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
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| "raw_text": "Shohei Higashiyama, National Institute of Information and Communications Technology (NICT), Japan", | |
| "links": null | |
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| "BIBREF7": { | |
| "ref_id": "b7", | |
| "title": "Japan Broadcasting Corporation (NHK)", | |
| "authors": [ | |
| { | |
| "first": "Hideya", | |
| "middle": [], | |
| "last": "Mino", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
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| "num": null, | |
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| "raw_text": "Hideya Mino, Japan Broadcasting Corporation (NHK), Japan", | |
| "links": null | |
| }, | |
| "BIBREF9": { | |
| "ref_id": "b9", | |
| "title": "Shared Task II -Indic Multilingual / UFAL EnOdia / Multimodal En-Hi / Hinden Task Descriptions and Results Raj Dabre and Shantipriya Parida HW-TSC's Participation in the WAT 2020 Indic Languages Multilingual Task Zhengzhe Yu", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Friday ; Zhanglin", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Xiaoyu", | |
| "middle": [], | |
| "last": "Wu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Daimeng", | |
| "middle": [], | |
| "last": "Chen", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Hengchao", | |
| "middle": [], | |
| "last": "Wei", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Jiaxin", | |
| "middle": [], | |
| "last": "Shang", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Zongyao", | |
| "middle": [], | |
| "last": "Guo", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Minghan", | |
| "middle": [], | |
| "last": "Li", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Liangyou", | |
| "middle": [], | |
| "last": "Wang", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Lizhi", | |
| "middle": [], | |
| "last": "Li", | |
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| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Lei", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2020, | |
| "venue": "", | |
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| "raw_text": "Friday, December 4, 2020 (continued) 12:00-14:00 Lunch Break 14:05-15:39 Shared Task II -Indic Multilingual / UFAL EnOdia / Multimodal En-Hi / Hin- den Task Descriptions and Results Raj Dabre and Shantipriya Parida HW-TSC's Participation in the WAT 2020 Indic Languages Multilingual Task Zhengzhe Yu, Zhanglin Wu, Xiaoyu Chen, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Minghan Wang, Liangyou Li, Lizhi Lei, Hao Yang and Ying Qin NICT's Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models? Raj Dabre and Abhisek Chakrabarty ODIANLP's Participation in WAT2020", | |
| "links": null | |
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| "BIBREF10": { | |
| "ref_id": "b10", | |
| "title": "Biranchi Narayan Nayak and Ond\u0159ej Bojar Multimodal Neural Machine Translation for English to Hindi Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay The ADAPT Centre's Participation in WAT 2020 English-to-Odia Translation Task Prashanth Nayak", | |
| "authors": [ | |
| { | |
| "first": "Shantipriya", | |
| "middle": [], | |
| "last": "Parida", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Petr", | |
| "middle": [], | |
| "last": "Motlicek", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Amulya", | |
| "middle": [ | |
| "Ratna" | |
| ], | |
| "last": "Dash", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Debasish", | |
| "middle": [], | |
| "last": "Satya Ranjan Dash", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Kumar Mallick", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Priyanka", | |
| "middle": [], | |
| "last": "Satya Prakash Biswal", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Pattnaik", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "Rejwanul Haque and Andy Way NLPRL Odia-English: Indic Language Neural Machine Translation System Rupjyoti Baruah and Rajesh Kumar Mundotiya WT: Wipro AI Submissions to the WAT 2020", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
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| "raw_text": "Shantipriya Parida, Petr Motlicek, Amulya Ratna Dash, Satya Ranjan Dash, Deba- sish Kumar Mallick, Satya Prakash Biswal, Priyanka Pattnaik, Biranchi Narayan Nayak and Ond\u0159ej Bojar Multimodal Neural Machine Translation for English to Hindi Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay The ADAPT Centre's Participation in WAT 2020 English-to-Odia Translation Task Prashanth Nayak, Rejwanul Haque and Andy Way NLPRL Odia-English: Indic Language Neural Machine Translation System Rupjyoti Baruah and Rajesh Kumar Mundotiya WT: Wipro AI Submissions to the WAT 2020", | |
| "links": null | |
| }, | |
| "BIBREF11": { | |
| "ref_id": "b11", | |
| "title": "55 Shared Task III -JPC / BSD Task Descriptions and Results Chenchen Ding and Toshiaki Nakazawa Korean-to-Japanese Neural Machine Translation System using Hanja Information Hwichan Kim, Tosho Hirasawa and Mamoru Komachi", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Friday", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2020, | |
| "venue": "", | |
| "volume": "15", | |
| "issue": "", | |
| "pages": "45--61", | |
| "other_ids": {}, | |
| "num": null, | |
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| "raw_text": "Friday, December 4, 2020 (continued) 15:39-15:45 Short Break 15:45-16:55 Shared Task III -JPC / BSD Task Descriptions and Results Chenchen Ding and Toshiaki Nakazawa Korean-to-Japanese Neural Machine Translation System using Hanja Information Hwichan Kim, Tosho Hirasawa and Mamoru Komachi", | |
| "links": null | |
| } | |
| }, | |
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