{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T05:04:32Z","timestamp":1725167072605},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T00:00:00Z","timestamp":1552608000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Social Science Foundation of China","award":["17BYY047"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,3,15]]},"DOI":"10.1145\/3319921.3319936","type":"proceedings-article","created":{"date-parts":[[2019,5,17]],"date-time":"2019-05-17T12:52:21Z","timestamp":1558097541000},"update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["The Gap between NMT and Professional Translation from the Perspective of Discourse"],"prefix":"10.1145","author":[{"given":"Ying","family":"Qin","sequence":"first","affiliation":[{"name":"Department of Computer Science, Beijing Foreign Studies University, Beijing, China"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Graduate School of Translation & Interpretation, Beijing Foreign Studies University, Beijing, China"}]},{"given":"Xiaoping","family":"Lu","sequence":"additional","affiliation":[{"name":"Graduate School of Translation & Interpretation, Beijing Foreign Studies University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2019,3,15]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Linn A. 2018. Microsoft reaches a historic milestone using AI to match human performance in translating news from Chinese to English. https:\/\/blogs.microsoft.com\/ai\/machine-translation-news-test-set-human-parity\/ Linn A. 2018. Microsoft reaches a historic milestone using AI to match human performance in translating news from Chinese to English. https:\/\/blogs.microsoft.com\/ai\/machine-translation-news-test-set-human-parity\/"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1515\/pralin-2017-0014"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Isabelle P. Cherry C. Foster G. 2017. A challenge set approach to evaluating machine translation. arXiv preprint arXiv:1704.07431. Isabelle P. Cherry C. Foster G. 2017. A challenge set approach to evaluating machine translation. arXiv preprint arXiv:1704.07431.","DOI":"10.18653\/v1\/D17-1263"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Koehn P. & Knowles R. 2017. Six Challenges for Neural Machine Translation. arXiv preprint arXiv:1706.03872. Koehn P. & Knowles R. 2017. Six Challenges for Neural Machine Translation. arXiv preprint arXiv:1706.03872.","DOI":"10.18653\/v1\/W17-3204"},{"key":"e_1_3_2_1_5_1","unstructured":"Sennrich R. 2018. Why the Time is Ripe for Discourse in Machine Translation http:\/\/homepages.inf.ed.ac.uk\/rsennric\/wnmt2018.pdf Sennrich R. 2018. Why the Time is Ripe for Discourse in Machine Translation http:\/\/homepages.inf.ed.ac.uk\/rsennric\/wnmt2018.pdf"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Bawden R. Sennrich R. Birch A. and Haddow B. 2018. Evaluating Discourse Phenomena in Neural Machine Translation. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Volume 1. New Orleans USA. 1304--1313. Bawden R. Sennrich R. Birch A. and Haddow B. 2018. Evaluating Discourse Phenomena in Neural Machine Translation. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Volume 1. New Orleans USA. 1304--1313.","DOI":"10.18653\/v1\/N18-1118"},{"key":"e_1_3_2_1_7_1","unstructured":"Tan Z.X. 2002. Discourse and Translation: Three Relations. Foreign Language and Their teaching. 160(7):3--10 Tan Z.X. 2002. Discourse and Translation: Three Relations. Foreign Language and Their teaching. 160(7):3--10"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings from the Turku Conference. Turku: University of Turku. 531--538","author":"Tanskanen S. K.","year":"1995","unstructured":"Tanskanen S. K. 1995 . Lexical Cohesion Meets Communicative Conditions. In B. Warvik, S.K. Tanskanen and R. Hiltungen (eds), Orgnanization in Discourse . Proceedings from the Turku Conference. Turku: University of Turku. 531--538 . Tanskanen S. K. 1995. Lexical Cohesion Meets Communicative Conditions. In B. Warvik, S.K. Tanskanen and R. Hiltungen (eds), Orgnanization in Discourse. Proceedings from the Turku Conference. Turku: University of Turku. 531--538."},{"key":"e_1_3_2_1_9_1","volume-title":"Cohesion in English","author":"Zhang D.L.","unstructured":"Zhang D.L. (Trans.). 2007. Halliday M.A.K. & Hasan R.. Cohesion in English . Foreign Language Teaching and Research Press , Beijing . Zhang D.L. (Trans.). 2007. Halliday M.A.K. & Hasan R.. Cohesion in English. Foreign Language Teaching and Research Press, Beijing."},{"key":"e_1_3_2_1_10_1","unstructured":"Wu Y. Schuster M. Chen Z. etal 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144. Wu Y. Schuster M. Chen Z. et al. 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144."}],"event":{"name":"ICIAI 2019: 2019 The 3rd International Conference on Innovation in Artificial Intelligence","location":"Suzhou China","acronym":"ICIAI 2019","sponsor":["Xi'an Jiaotong-Liverpool University Xi'an Jiaotong-Liverpool University","University of Texas-Dallas University of Texas-Dallas"]},"container-title":["Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3319921.3319936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T16:32:45Z","timestamp":1690475565000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3319921.3319936"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,15]]},"references-count":10,"alternative-id":["10.1145\/3319921.3319936","10.1145\/3319921"],"URL":"https:\/\/doi.org\/10.1145\/3319921.3319936","relation":{},"subject":[],"published":{"date-parts":[[2019,3,15]]},"assertion":[{"value":"2019-03-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}