{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T13:03:19Z","timestamp":1726059799063},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811517204"},{"type":"electronic","value":"9789811517211"}],"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\/978-981-15-1721-1_5","type":"book-chapter","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T14:02:40Z","timestamp":1574431360000},"page":"47-57","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Neural Machine Translation with Attention Based on a New Syntactic Branch Distance"],"prefix":"10.1007","author":[{"given":"Ru","family":"Peng","sequence":"first","affiliation":[]},{"given":"Zhitao","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Tianyong","family":"Hao","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,23]]},"reference":[{"key":"5_CR1","unstructured":"Kalchbrenner, N., Blunsom, P.: Recurrent continuous translation models. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1700\u20131709 (2013)"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Cho, K., Merrienboer, B.V., G\u00fcl\u00e7ehre, \u00c7., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint \narXiv:1406.1078\n\n (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"5_CR3","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sutskever, I., et al.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014)"},{"key":"5_CR4","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint \narXiv:1409.0473\n\n (2015)"},{"issue":"2","key":"5_CR5","first-page":"82","volume":"27","author":"MT Luong","year":"2014","unstructured":"Luong, M.T., Sutskever, I., Le, Q.V., et al.: Addressing the rare word problem in neural machine translation. Bull. Univ. Agric. Sci. Vet. Med. Cluj-Napoca. Vet. Med. 27(2), 82\u201386 (2014)","journal-title":"Bull. Univ. Agric. Sci. Vet. Med. Cluj-Napoca. Vet. Med."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Tai, K.S., Socher, R., Manning, C.D.: Improved semantic representations from tree-structured long short-term memory networks. arXiv preprint \narXiv:1503.00075\n\n (2015)","DOI":"10.3115\/v1\/P15-1150"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B.: Linguistic input features improve neural machine translation. In: Proceedings of the First Conference on Machine Translation, Berlin, Germany, pp. 83\u201391. ACL (2016)","DOI":"10.18653\/v1\/W16-2209"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Eriguchi, A., Tsuruoka, Y., Cho, K.: Learning to parse and translate improves neural machine translation. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, pp. 72\u201378. ACL (2017)","DOI":"10.18653\/v1\/P17-2012"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Li, J., Xiong, D., Tu, Z., Zhu, M., Zhou, G.: Modeling source syntax for neural machine translation. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, pp. 688\u2013697. ACL (2017)","DOI":"10.18653\/v1\/P17-1064"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Wu, S., Zhang, D., Yang, N., Li, M., Zhou, M.: Sequence-to-dependency neural machine translation. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1), Vancouver, Canada, pp. 698\u2013707 (2017)","DOI":"10.18653\/v1\/P17-1065"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Eriguchi, A., Hashimoto, K., Tsuruoka, Y.: Tree-to-sequence attentional neural machine translation. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, pp. 823\u2013833 (2016)","DOI":"10.18653\/v1\/P16-1078"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Chen, H., Huang, S., Chiang, D., Chen, J.: Improved neural machine translation with a syntax-aware encoder and decoder. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, pp. 1936\u20131945 (2017)","DOI":"10.18653\/v1\/P17-1177"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Wu, S., Zhou, M., Zhang, D.: Improved neural machine translation with source syntax. In: Proceedings of the Twenty Sixth International Joint Conference on Artificial Intelligence, IJCAI-2017, pp. 4179\u20134185 (2017)","DOI":"10.24963\/ijcai.2017\/584"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Chen, K., Wang, R., Utiyama, M., Liu, L., Zhao, T., et al.: Neural machine translation with source dependency representation. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, pp. 23\u201332 (2017)","DOI":"10.18653\/v1\/D17-1304"},{"key":"5_CR15","unstructured":"Zeiler M.D.: ADADELTA: an adaptive learning rate method. arXiv preprint \narXiv:1212.5701\n\n (2012)"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Firat, O., Cho, K., et al.: Nematus: a toolkit for neural machine translation. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, pp. 65\u201368 (2017)","DOI":"10.18653\/v1\/E17-3017"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Chang, P.C., Tseng, H., Jurafsky, D., Manning, C.D.: Discriminative reordering with Chinese grammatical relations features. In: Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation, Boulder, Colorado, pp. 51\u201359 (2009)","DOI":"10.3115\/1626344.1626351"},{"key":"5_CR18","unstructured":"Hinton, G., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint \narXiv:1207.0580\n\n (2012)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, Pennsylvania, USA, pp. 311\u2013318 (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Wang, X., Pham, H., Yin, P., Neubig, G.: A tree-based decoder for neural machine translation. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 4772\u20134777(2018)","DOI":"10.18653\/v1\/D18-1509"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Samee, M. R., Mercer, R. E.: Improving tree-LSTM with tree attention. In: Proceedings of the 2019 IEEE 13th International Conference on Semantic Computing, pp. 247\u2013254(2019)","DOI":"10.1109\/ICOSC.2019.8665673"}],"container-title":["Communications in Computer and Information Science","Machine Translation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-1721-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T14:07:45Z","timestamp":1574431665000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-1721-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811517204","9789811517211"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-1721-1_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCMT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Machine Translation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","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":"27 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccmt2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccmt2019.jxnu.edu.cn\/","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":"Startv2","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","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":"10","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":"0","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":"48% - 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)"}}]}}