{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:14:18Z","timestamp":1742944458612,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322328"},{"type":"electronic","value":"9783030322335"}],"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\/978-3-030-32233-5_59","type":"book-chapter","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T22:04:51Z","timestamp":1569967491000},"page":"761-772","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Word Segmentation Method of Ancient Chinese Based on Word Alignment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2978-5430","authenticated-orcid":false,"given":"Chao","family":"Che","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanyu","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoting","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3414-9623","authenticated-orcid":false,"given":"Dongsheng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,30]]},"reference":[{"issue":"3","key":"59_CR1","first-page":"377","volume":"22","author":"R Sproat","year":"1996","unstructured":"Sproat, R., Shih, C., Gale, W., Chang, N.: A stochasitic finite-state word-segmentation algorithm for Chinese. Comput. Linguist. 22(3), 377\u2013404 (1996)","journal-title":"Comput. Linguist."},{"key":"59_CR2","doi-asserted-by":"crossref","unstructured":"Xue, N., Shen, L.: Chinese word segmentation as LMR tagging. In: Sighan Workshop on Chinese Language Processing, pp. 176\u2013179. ACL, Stroudsburg (2003)","DOI":"10.3115\/1119250.1119278"},{"key":"59_CR3","first-page":"39","volume":"2","author":"M Shi","year":"2010","unstructured":"Shi, M., Bin, L.I., Chen, X.: CRF based research on a unified approach to word segmentation and POS tagging for pre-qin Chinese. J. Chin. Inform. Process. 2, 39\u201345 (2010)","journal-title":"J. Chin. Inform. Process."},{"issue":"4","key":"59_CR4","first-page":"105","volume":"58","author":"Z Qian","year":"2014","unstructured":"Qian, Z., Zhou, J., Tong, G., Su, X.: Research on automatic word segmentation and POS tagging for Chu Ci based on HMM. Libr. Inform. Serv. 58(4), 105\u2013110 (2014)","journal-title":"Libr. Inform. Serv."},{"key":"59_CR5","doi-asserted-by":"publisher","first-page":"70874","DOI":"10.1109\/ACCESS.2018.2881280","volume":"6","author":"S Li","year":"2018","unstructured":"Li, S., Li, M.Z., Xu, Y.J., Bao, Z.Y., Fu, L., Zhu, Y.: Capsules based Chinese word segmentation for ancient Chinese medical books. IEEE Access 6, 70874\u201370883 (2018)","journal-title":"IEEE Access"},{"key":"59_CR6","doi-asserted-by":"crossref","unstructured":"Palmer, D.D.: A trainable rule-based algorithm for word segmentation. In: Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, pp. 321\u2013328. ACL, Stroudsburg (1997)","DOI":"10.3115\/979617.979658"},{"key":"59_CR7","doi-asserted-by":"crossref","unstructured":"Peng, F., Feng, F., McCallum, A.: Chinese segmentation and new word detection using conditional random fields. In: Proceedings of Coling, pp. 562\u2013568 (2004)","DOI":"10.3115\/1220355.1220436"},{"key":"59_CR8","unstructured":"Zhang, Y., Clark, S.: Chinese segmentation with a word-based perceptron algorithm. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 840\u2013847. ACL, Stroudsburg (2007)"},{"issue":"1","key":"59_CR9","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12(1), 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"59_CR10","unstructured":"Zheng, X., Chen, H., Xu, T.: Deep learning for Chinese word segmentation and POS tagging. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 647\u2013657. ACL, Stroudsburg (2003)"},{"key":"59_CR11","doi-asserted-by":"crossref","unstructured":"Pei, W., Ge, T., Chang, B.: Max-margin tensor neural network for Chinese word segmentation. In: In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp. 293\u2013303. ACL, Stroudsburg (2014)","DOI":"10.3115\/v1\/P14-1028"},{"key":"59_CR12","doi-asserted-by":"crossref","unstructured":"Chen, X., Qiu, X., Zhu, C., Pengfei, L., Huang, X.: Long short-term memory neural networks for chinese word segmentation. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1197\u20131206. ACL, Stroudsburg (2015b)","DOI":"10.18653\/v1\/D15-1141"},{"key":"59_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, M., Zhang, Y., Fu, G.: Transition-based neural word segmentation. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp. 421\u2013431. ACL, Stroudsburg (2016)","DOI":"10.18653\/v1\/P16-1040"},{"key":"59_CR14","unstructured":"Liu, Y., Che, W., Guo, J., Qin, B., Liu, T.: Exploring segment representations for neural segmentation models. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 2880\u20132886 (2016)"},{"key":"59_CR15","doi-asserted-by":"crossref","unstructured":"Xu, J., Zens, R., Ney, H.: Do we need Chinese word segmentation for statistical machine translation? In: ACL SIGHAN Workshop Association for Computational Linguistics, pp. 122\u2013128. ACL, Stroudsburg (2004)","DOI":"10.3115\/1654449.1654491"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Ma, Y., Way, A.: Bilingually motivated domain-adapted word segmentation for statistical machine translation. In: Conference of the European Chapter of the Association for Computational Linguistics, pp. 549\u2013557. ACL, Stroudsburg (2009)","DOI":"10.3115\/1609067.1609128"},{"key":"59_CR17","unstructured":"Paul, M., Finch, A.M., Sumita, E.: Integration of multiple bilingually-trained Segmentation Schemes into Statistical machine translation. In: Joint Fifth Workshop on Statistical Machine Translation and Metricsmatr, pp. 400\u2013408 (2010)"},{"key":"59_CR18","doi-asserted-by":"crossref","unstructured":"Wang, X., Utiyama, M., M. Finch, A., Sumita, E.: Refining word segmentation using a manually aligned corpus for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1654\u20131664. ACL, Stroudsburg (2014)","DOI":"10.3115\/v1\/D14-1173"},{"issue":"2","key":"59_CR19","first-page":"12","volume":"16","author":"P Tran","year":"2016","unstructured":"Tran, P., Dinh, D., Nguyen, L.H.B.: Word re-segmentation in Chinese-Vietnamese machine translation. ACM Trans. Asian Low-Resour. Lang. Inform. Process. (TALLIP) 16(2), 12 (2016)","journal-title":"ACM Trans. Asian Low-Resour. Lang. Inform. Process. (TALLIP)"},{"issue":"4","key":"59_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2523057.2523059","volume":"12","author":"C Chu","year":"2013","unstructured":"Chu, C., Nakazawa, T., Kawahara, D., Kurohashi, S.: Chinese-Japanese machine translation exploiting Chinese characters. ACM Trans. Asian Lang. Inform. Process. 12(4), 1\u201325 (2013)","journal-title":"ACM Trans. Asian Lang. Inform. Process."},{"key":"59_CR21","first-page":"263","volume":"19","author":"PF Brown","year":"1993","unstructured":"Brown, P.F., Della Pietra, S.A., Della Pietra, V.J.: The mathesmatics of statistical machine translation: parameter estimation. Computat. Linguist. 19, 263\u2013311 (1993)","journal-title":"Computat. Linguist."},{"key":"59_CR22","doi-asserted-by":"crossref","unstructured":"Wu, X.T., Zhao, H.Y., Che, C.: Term translation extraction from historical classics using modern chinese explanation. In: The 17th China National Conference on Computational Linguistics and 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data (CCL 2018\/NLP-NABD 2018), pp. 88\u201398. CCL, Beijing (2018)","DOI":"10.1007\/978-3-030-01716-3_8"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32233-5_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:13:23Z","timestamp":1710353603000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32233-5_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322328","9783030322335"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32233-5_59","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)"}}]}}