{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T19:54:33Z","timestamp":1774122873460,"version":"3.50.1"},"reference-count":27,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2015,11,11]],"date-time":"2015-11-11T00:00:00Z","timestamp":1447200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2015,11,11]]},"abstract":"<jats:p>\n            We propose a novel framework for Chinese Spelling Check (CSC), which is an automatic algorithm to detect and correct Chinese spelling errors. Our framework contains two key components:\n            <jats:italic>candidate generation<\/jats:italic>\n            and\n            <jats:italic>candidate ranking<\/jats:italic>\n            . Our framework differs from previous research, such as Statistical Machine Translation (SMT) based model or Language Model (LM) based model, in that we use both SMT and LM models as components of our framework for generating the correction candidates, in order to obtain maximum recall; to improve the precision, we further employ a Support Vector Machines (SVM) classifier to rank the candidates generated by the SMT and the LM. Experiments show that our framework outperforms other systems, which adopted the same or similar resources as ours in the SIGHAN 7 shared task; even comparing with the state-of-the-art systems, which used more resources, such as a considerable large dictionary, an idiom dictionary and other semantic information, our framework still obtains competitive results. Furthermore, to address the resource scarceness problem for training the SMT model, we generate around 2 million artificial training sentences using the Chinese character confusion sets, which include a set of Chinese characters with similar shapes and similar pronunciations, provided by the SIGHAN 7 shared task.\n          <\/jats:p>","DOI":"10.1145\/2822264","type":"journal-article","created":{"date-parts":[[2015,11,13]],"date-time":"2015-11-13T14:19:41Z","timestamp":1447424381000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["A Hybrid Ranking Approach to Chinese Spelling Check"],"prefix":"10.1145","volume":"14","author":[{"given":"Xiaodong","family":"Liu","sequence":"first","affiliation":[{"name":"Nara Institute of Science and Technology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Cheng","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Duh","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuji","family":"Matsumoto","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,11,11]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the Biennial GSCL Conference. 31--40","author":"Bouma Gerlof","year":"2009"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/972470.972474"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"e_1_2_1_4_1","volume-title":"Proceedings of the Natural Language Processing Pacific Rim Symposium (NLPRS\u201995)","author":"Chang Chao-Huang","year":"1995"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the 6th International Joint Conference on Natural Language Processing. 79","author":"Chen Kuan-Yu","year":"2013"},{"key":"e_1_2_1_6_1","volume-title":"Proceedings of the 21st Conference on Computational Linguistics and Speech Processing. 1--2.","author":"Chen Yong-Zhi","year":"2009"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJCEELL.2011.039697"},{"key":"e_1_2_1_8_1","volume-title":"Proceedings of the 7th SIGHAN Workshop on Chinese Language Processing. 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