{"id":"https://openalex.org/W2471679455","doi":"https://doi.org/10.18653/v1/n16-1133","title":"Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation","display_name":"Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2471679455","doi":"https://doi.org/10.18653/v1/n16-1133","mag":"2471679455"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-1133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1133","pdf_url":"https://doi.org/10.18653/v1/n16-1133","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/n16-1133","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008935760","display_name":"Tomoya Mizumoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomoya Mizumoto","raw_affiliation_strings":["INF - System Information Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INF - System Information Sciences","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072032804","display_name":"Y\u016bji Matsumoto","orcid":"https://orcid.org/0000-0003-4946-9574"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Matsumoto","raw_affiliation_strings":["Nara Institute of Science & Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science & Technology#TAB#","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1133","last_page":"1138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8329759836196899},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7655460834503174},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7224476337432861},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6489264369010925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6387802362442017},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6252575516700745},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5101106762886047},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4684082865715027},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39314085245132446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17604446411132812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329759836196899},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7655460834503174},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7224476337432861},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6489264369010925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6387802362442017},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6252575516700745},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5101106762886047},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4684082865715027},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39314085245132446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17604446411132812},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n16-1133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1133","pdf_url":"https://doi.org/10.18653/v1/n16-1133","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-1133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1133","pdf_url":"https://doi.org/10.18653/v1/n16-1133","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W23077562","https://openalex.org/W179314280","https://openalex.org/W1966771059","https://openalex.org/W1979711143","https://openalex.org/W2034991102","https://openalex.org/W2035718809","https://openalex.org/W2058475745","https://openalex.org/W2098297786","https://openalex.org/W2102294561","https://openalex.org/W2118599227","https://openalex.org/W2123388068","https://openalex.org/W2127672659","https://openalex.org/W2140372282","https://openalex.org/W2144950812","https://openalex.org/W2153013403","https://openalex.org/W2155870214","https://openalex.org/W2158025800","https://openalex.org/W2168420336","https://openalex.org/W2170527467","https://openalex.org/W2175296493","https://openalex.org/W2251613956","https://openalex.org/W2251799008","https://openalex.org/W2251862950","https://openalex.org/W2315316408","https://openalex.org/W3167803720"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Research":[0],"on":[1],"grammatical":[2,16,75],"error":[3,17,76],"correction":[4,18,52],"has":[5],"received":[6],"considerable":[7],"attention.":[8],"For":[9],"dealing":[10],"with":[11,37,46,114],"all":[12,40],"types":[13],"of":[14,58,87,103,118],"errors,":[15],"methods":[19],"that":[20,97],"employ":[21],"statistical":[22],"machine":[23],"translation":[24],"(SMT)":[25],"have":[26],"been":[27],"proposed":[28],"in":[29],"recent":[30],"years.":[31],"An":[32],"SMT":[33,60,89],"system":[34,61,100],"generates":[35],"candidates":[36,41],"scores":[38],"for":[39,74],"and":[42,90,105,110],"selects":[43],"the":[44,47,51,55,65,88,92],"sentence":[45],"highest":[48],"score":[49,117],"as":[50],"result.":[53,67],"However,":[54],"1-best":[56],"result":[57],"an":[59,115],"is":[62,81],"not":[63],"always":[64],"best":[66],"Thus,":[68],"we":[69],"propose":[70],"a":[71],"reranking":[72,79,99],"approach":[73,80],"correction.":[77],"The":[78],"used":[82],"to":[83],"re-score":[84],"N-best":[85],"results":[86],"reorder":[91],"results.":[93],"Our":[94],"experiments":[95],"show":[96],"our":[98],"using":[101],"parts":[102],"speech":[104],"syntactic":[106],"features":[107],"improves":[108],"performance":[109],"achieves":[111],"state-of-theart":[112],"quality,":[113],"F0.5":[116],"40.0.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
