{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T11:11:48Z","timestamp":1726053108367},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322359"},{"type":"electronic","value":"9783030322366"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32236-6_42","type":"book-chapter","created":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T19:23:57Z","timestamp":1569785037000},"page":"466-475","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Back-Translation Methods for Low-Resource Neural Machine Translation"],"prefix":"10.1007","author":[{"given":"Nuo","family":"Xu","sequence":"first","affiliation":[]},{"given":"Yinqiao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yanyang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Bei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Jingbo","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,30]]},"reference":[{"key":"42_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y., et al.: Neural machine translation by jointly learning to align and translate. In: International Conference on Learning Representations (2015)"},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Luong, T., Pham, H., Manning, C.D., et al.: Effective approaches to attention-based neural machine translation. In: Empirical Methods in Natural Language Processing, pp. 1412\u20131421 (2015)","DOI":"10.18653\/v1\/D15-1166"},{"key":"42_CR3","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., Birch, A., et al.: Improving neural machine translation models with monolingual data. In: Meeting of the Association for Computational Linguistics, pp. 86\u201396 (2016)","DOI":"10.18653\/v1\/P16-1009"},{"key":"42_CR4","doi-asserted-by":"crossref","unstructured":"Fadaee, M., Monz, C.: Back-translation sampling by targeting difficult words in neural machine translation. In: Empirical Methods in Natural Language Processing, pp. 436\u2013446 (2018)","DOI":"10.18653\/v1\/D18-1040"},{"key":"42_CR5","unstructured":"Axelrod, A., Vyas, Y., Martindale, M., Carpuat, M., Hopkins, J.: Classbased n-gram language difference models for data selection. In: IWSLT (International Workshop on Spoken Language Translation), pp. 180\u2013187 (2015)"},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Edunov, S., Ott, M., Auli, M., et al.: Understanding back-translation at scale. In: Empirical Methods in Natural Language Processing, pp. 489\u2013500 (2018)","DOI":"10.18653\/v1\/D18-1045"},{"key":"42_CR7","unstructured":"Moore, R.C., Lewis, W.D.: Intelligent selection of language model training data. In: Meeting of the Association for Computational Linguistics, pp. 220\u2013224 (2010)"},{"key":"42_CR8","doi-asserted-by":"crossref","unstructured":"Post, M.: A Call for Clarity in Reporting BLEU Scores. arXiv: Computation and Language, pp. 186\u2013191 (2018)","DOI":"10.18653\/v1\/W18-6319"},{"key":"42_CR9","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., Birch, A., et al.: Neural machine translation of rare words with subword units. In: Meeting of the Association for Computational Linguistics, pp. 1715\u20131725 (2016)","DOI":"10.18653\/v1\/P16-1162"},{"key":"42_CR10","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., et al.: Attention is all you need. In: Neural Information Processing Systems, pp. 5998\u20136008 (2017)"},{"issue":"2","key":"42_CR11","first-page":"263","volume":"19","author":"PF Brown","year":"1993","unstructured":"Brown, P.F., Pietra, V.J., Pietra, S.D., et al.: The mathematics of statistical machine translation: parameter estimation. Computat. Linguist. 19(2), 263\u2013311 (1993)","journal-title":"Computat. Linguist."}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32236-6_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T19:49:25Z","timestamp":1569786565000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32236-6_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322359","9783030322366"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32236-6_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dunhuang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"492","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"85","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}