{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T19:35:21Z","timestamp":1770233721540,"version":"3.49.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Humanities and Social Sciences Research of Chinese Ministry of Education","award":["17XJA740001"],"award-info":[{"award-number":["17XJA740001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3159676","type":"journal-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T21:17:06Z","timestamp":1647292626000},"page":"35061-35072","source":"Crossref","is-referenced-by-count":7,"title":["Pre-Training-Based Grammatical Error Correction Model for the Written Language of Chinese Hearing Impaired Students"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3540-1053","authenticated-orcid":false,"given":"Binbin","family":"Chen","sequence":"first","affiliation":[{"name":"School of International Studies, Qiannan Normal University for Nationalities, Duyun, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9901-8611","authenticated-orcid":false,"given":"Jingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"English Literature Institute, Xi’an International Studies University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1037\/h0036711"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-3120"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-1713"},{"issue":"1","key":"ref4","first-page":"23","article-title":"A study on Chinese spelling check using confusion sets and N-gram statistics","volume":"20","author":"Lin","year":"2015","journal-title":"Int. J. Comput. Linguistics Chin. Lang. Process."},{"key":"ref5","first-page":"961","article-title":"Generating confusion sets for context-sensitive error correction","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Rozovskaya"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/1220175.1220207"},{"key":"ref7","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"arXiv:1810.04805","author":"Devlin","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d19-5522"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.82"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref11","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sutskever"},{"key":"ref12","article-title":"Reaching human-level performance in automatic grammatical error correction: An empirical study","volume-title":"arXiv:1807.01270","author":"Ge","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12069"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1333"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1014"},{"key":"ref16","first-page":"107","article-title":"Correcting semantic collocation errors with L1-induced paraphrases","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Dahlmeier"},{"key":"ref17","first-page":"568","article-title":"Better evaluation for grammatical error correction","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics, Hum. Lang. Technol.","author":"Dahlmeier"},{"key":"ref18","first-page":"242","article-title":"Helping our own: The HOO 2011 pilot shared task","volume-title":"Proc. 13th Eur. Workshop Natural Lang. Gener.","author":"Dale"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/1654629.1654635"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/1599081.1599103"},{"key":"ref21","first-page":"1","article-title":"Using an error-annotated learner corpus to develop an ESL\/EFL error correction system","volume-title":"Proc. LREC","author":"Han"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2200\/s00275ed1v01y201006hlt009"},{"key":"ref23","first-page":"353","article-title":"Using parse features for preposition selection and error detection","volume-title":"Proc. Assoc. Conf. Comput. Linguistics","author":"Tetreault"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5715\/jnlp.25.421"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1112"},{"key":"ref26","first-page":"41","article-title":"Alibaba at IJCNLP-2017 task 1: Embedding grammatical features into LSTMs for Chinese grammatical error diagnosis task","volume-title":"Proc. IJCNLP","author":"Yang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/SLaTE.2017-29"},{"key":"ref28","first-page":"49","article-title":"Integrating BERT and score-based feature gates for Chinese grammatical error diagnosis","volume-title":"Proc. 6th Workshop Natural Lang. Process. Techn. Educ. Appl.","author":"Cao"},{"key":"ref29","first-page":"57","article-title":"BERT enhanced neural machine translation and sequence tagging model for Chinese grammatical error diagnosis","volume-title":"Proc. 6th Workshop Natural Lang. Process. Techn. Educ. Appl.","author":"Liang"},{"key":"ref30","first-page":"87","article-title":"TMU-NLP system using BERT-based pre-trained model to the NLP-TEA CGED shared task 2020","volume-title":"Proc. 6th Workshop Natural Lang. Process. Techn. Educ. Appl.","author":"Wang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-3724"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-3729"},{"key":"ref33","first-page":"108","article-title":"Chinese grammatical error detection based on BERT model","volume-title":"Proc. 6th Workshop Natural Lang. Process. Techn. Educ. Appl.","author":"Cheng"},{"key":"ref34","first-page":"114","article-title":"Named-entity based sentiment analysis of nepali news media texts","volume-title":"Proc. 6th Workshop Natural Lang. Process. Techn. Educ. Appl.","author":"Shrestha"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4418"},{"key":"ref36","first-page":"366","article-title":"Grammatical error correction with neural reinforcement learning","volume-title":"Proc. 8th Int. Joint Conf. Natural Lang. Process.","volume":"2","author":"Sakaguchi"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1298"},{"key":"ref38","article-title":"Neural language correction with character-based attention","volume-title":"arXiv:1603.09727","author":"Xie","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1042"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-1208"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1119"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5476"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-625150-0.50009-5"},{"key":"ref44","first-page":"35","article-title":"Chinese spelling check evaluation at SIGHAN Bake-off 2013","volume-title":"Proc. 7th SIGHAN Workshop Chin. Lang. Process.","author":"Wu"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1458"},{"key":"ref46","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99495-6_29"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99501-4_41"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1060"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref54","first-page":"588","article-title":"Ground truth for grammatical error correction metrics","volume-title":"Proc. 7th Int. Joint Conf. Natural Lang. Process.","volume":"2","author":"Napoles"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99501-4_10"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99501-4_36"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09734023.pdf?arnumber=9734023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:05:52Z","timestamp":1705532752000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9734023\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3159676","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}