{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T21:28:38Z","timestamp":1753738118510},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030381882"},{"type":"electronic","value":"9783030381899"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-38189-9_43","type":"book-chapter","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T08:02:54Z","timestamp":1578038574000},"page":"415-422","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tibetan Case Grammar Error Correction Method Based on Neural Networks"],"prefix":"10.1007","author":[{"given":"Cizhen","family":"Jiacuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Secha","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangjie","family":"Duanzhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cairang","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,4]]},"reference":[{"key":"43_CR1","volume-title":"Tibetan Syntactic Research","author":"T Ji","year":"2013","unstructured":"Ji, T.: Tibetan Syntactic Research. China Tibetology Press, Beijing (2013). (in Tibetan)"},{"key":"43_CR2","volume-title":"Practical Tibetan Grammar Tutorial","author":"J Gesang","year":"2008","unstructured":"Gesang, J., Gesang, Y.: Practical Tibetan Grammar Tutorial. Sichuan Nationalities Press, Chengdu (2008). (in Chinese)"},{"issue":"3","key":"43_CR3","first-page":"92","volume":"28","author":"J Zhu","year":"2014","unstructured":"Zhu, J., Li, T., Liu, S.: The algorithm of spelling check base on TSRM. J. Chin. Inf. Process. 28(3), 92\u201398 (2014). (in Chinese)","journal-title":"J. Chin. Inf. Process."},{"issue":"9","key":"43_CR4","first-page":"47","volume":"32","author":"Z Cai","year":"2018","unstructured":"Cai, Z., Sun, M., Cairang, Z.: Vector based spelling check for Tibetan characters. J. Chin. Inf. Proess. 32(9), 47\u201355 (2018). (in Chinese)","journal-title":"J. Chin. Inf. Proess."},{"issue":"1","key":"43_CR5","first-page":"142","volume":"50","author":"J Zhu","year":"2014","unstructured":"Zhu, J., Li, T., Liu, S.: An approach for Tibetan text automatic proofreading and its system design. Acta Scientiarum Naturalium Universitatis Pekinensis 50(1), 142\u2013148 (2014). (in Chinese)","journal-title":"Acta Scientiarum Naturalium Universitatis Pekinensis"},{"key":"43_CR6","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9, 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"4","key":"43_CR7","first-page":"244","volume":"41","author":"W Luo","year":"2004","unstructured":"Luo, W., Luo, Z., Gong, X.: Study of techniques of automatic proofreading for Chinese texts. J. Comput. Res. Dev. 41(4), 244\u2013249 (2004). (in Chinese)","journal-title":"J. Comput. Res. Dev."},{"issue":"6","key":"43_CR8","first-page":"8","volume":"23","author":"Y Zhang","year":"2006","unstructured":"Zhang, Y., Yu, S.: Summary of text automatic proofreading technology. Appl. Res. Comput. 23(6), 8\u201312 (2006). (in Chinese)","journal-title":"Appl. Res. Comput."},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Chollampatt, S., Ng, H.T.: Connecting the dots: towards human-level grammatical error correction. In: Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, Copenhagen (2017)","DOI":"10.18653\/v1\/W17-5037"},{"key":"43_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/978-3-319-99495-6_29","volume-title":"Natural Language Processing and Chinese Computing","author":"K Fu","year":"2018","unstructured":"Fu, K., Huang, J., Duan, Y.: Youdao\u2019s winning solution to the NLPCC-2018 task 2 challenge: a neural machine translation approach to Chinese grammatical error correction. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds.) NLPCC 2018. LNCS (LNAI), vol. 11108, pp. 341\u2013350. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-319-99495-6_29"},{"key":"43_CR11","unstructured":"Vaswani, A., et al.: Attention is all you need. Computation and Language (cs.CL); Machine Learning (cs.LG). \narXiv:1706.03762\n\n (2017)"},{"key":"43_CR12","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint \narXiv:1810.04805\n\n (2018)"}],"container-title":["Lecture Notes in Computer Science","Chinese Lexical Semantics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-38189-9_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T08:08:30Z","timestamp":1578038910000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-38189-9_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030381882","9783030381899"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-38189-9_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CLSW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Chinese Lexical Semantics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","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":"28 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"clsw2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/clsw2019.com\/CLSW2019_eng\/index_eng.php","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"254","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":"39","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":"46","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":"15% - 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":"2","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}