{"id":"https://openalex.org/W2952317054","doi":"https://doi.org/10.18653/v1/p19-1175","title":"Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation","display_name":"Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952317054","doi":"https://doi.org/10.18653/v1/p19-1175","mag":"2952317054"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1175","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1175","pdf_url":"https://www.aclweb.org/anthology/P19-1175.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1175.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053763390","display_name":"Bram Bult\u00e9","orcid":"https://orcid.org/0000-0003-2761-9455"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Bram Bulte","raw_affiliation_strings":["Language and Translation Technology Team (LT3) Ghent University","KU Leuven","Centre for Computational Linguistics (CCL)"],"affiliations":[{"raw_affiliation_string":"Language and Translation Technology Team (LT3) Ghent University","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Centre for Computational Linguistics (CCL)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046525661","display_name":"Arda Tezcan","orcid":"https://orcid.org/0000-0002-8707-6176"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Arda Tezcan","raw_affiliation_strings":["KU Leuven","Language and Translation Technology Team (LT3) Ghent University","Centre for Computational Linguistics (CCL)"],"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Language and Translation Technology Team (LT3) Ghent University","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Centre for Computational Linguistics (CCL)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053763390"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":5.6781,"has_fulltext":true,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96728369,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1800","last_page":"1809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9606999754905701,"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":0.9606999754905701,"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/machine-translation","display_name":"Machine translation","score":0.8607665300369263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7865283489227295},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6439583897590637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5631980299949646},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5499585866928101},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4978797435760498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47615528106689453},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46549972891807556},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4134177267551422},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39023005962371826},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1097862720489502}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8607665300369263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865283489227295},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6439583897590637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5631980299949646},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5499585866928101},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4978797435760498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47615528106689453},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46549972891807556},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4134177267551422},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39023005962371826},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1097862720489502},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/p19-1175","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1175","pdf_url":"https://www.aclweb.org/anthology/P19-1175.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8624135","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8624135","pdf_url":"https://biblio.ugent.be/publication/8624135/file/8624136.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781950737482","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1175","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1175","pdf_url":"https://www.aclweb.org/anthology/P19-1175.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952317054.pdf","grobid_xml":"https://content.openalex.org/works/W2952317054.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W222053410","https://openalex.org/W832270446","https://openalex.org/W1647671624","https://openalex.org/W1872443190","https://openalex.org/W1916559533","https://openalex.org/W2001496424","https://openalex.org/W2097776316","https://openalex.org/W2101105183","https://openalex.org/W2114556561","https://openalex.org/W2123962305","https://openalex.org/W2124807415","https://openalex.org/W2126712675","https://openalex.org/W2133512280","https://openalex.org/W2141332150","https://openalex.org/W2149327368","https://openalex.org/W2250585411","https://openalex.org/W2434153183","https://openalex.org/W2593543827","https://openalex.org/W2595715041","https://openalex.org/W2735676397","https://openalex.org/W2736671181","https://openalex.org/W2744031566","https://openalex.org/W2788330850","https://openalex.org/W2806156201","https://openalex.org/W2891713103","https://openalex.org/W2960479961","https://openalex.org/W2963212250","https://openalex.org/W2963261349","https://openalex.org/W2963792777","https://openalex.org/W2963829526","https://openalex.org/W2964029788","https://openalex.org/W3167591218","https://openalex.org/W3172943095","https://openalex.org/W3197274356","https://openalex.org/W3208836290","https://openalex.org/W3211848854","https://openalex.org/W4298153606"],"related_works":["https://openalex.org/W2728761353","https://openalex.org/W2883671469","https://openalex.org/W1529840045","https://openalex.org/W4244036394","https://openalex.org/W2972060578","https://openalex.org/W1842879116","https://openalex.org/W4285877427","https://openalex.org/W783305165","https://openalex.org/W2135107501","https://openalex.org/W2124490386"],"abstract_inverted_index":{"We":[0,25],"present":[1],"a":[2,21,56,75,81],"simple":[3],"yet":[4],"powerful":[5],"data":[6,35,44],"augmentation":[7],"method":[8,66],"for":[9,31,46,69],"boosting":[10],"Neural":[11],"Machine":[12],"Translation":[13,22],"(NMT)":[14],"performance":[15],"by":[16],"leveraging":[17],"information":[18],"retrieved":[19],"from":[20],"Memory":[23],"(TM).":[24],"propose":[26],"and":[27,52,80],"test":[28],"two":[29,47],"methods":[30],"augmenting":[32],"NMT":[33],"training":[34],"with":[36],"fuzzy":[37],"TM":[38,77],"matches.":[39],"Tests":[40],"on":[41],"the":[42],"DGT-TM":[43],"set":[45],"language":[48],"pairs":[49],"show":[50],"consistent":[51],"substantial":[53],"improvements":[54],"over":[55],"range":[57],"of":[58,84,96],"baseline":[59],"systems.":[60],"The":[61],"results":[62],"suggest":[63],"that":[64],"this":[65],"is":[67,78,88],"promising":[68],"any":[70],"translation":[71],"environment":[72],"in":[73],"which":[74],"sizeable":[76],"available":[79],"certain":[82],"amount":[83],"repetition":[85],"across":[86],"translations":[87],"to":[89],"be":[90],"expected,":[91],"especially":[92],"considering":[93],"its":[94],"ease":[95],"implementation.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}