{"id":"https://openalex.org/W2251677926","doi":"https://doi.org/10.3115/v1/w15-1005","title":"Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments","display_name":"Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251677926","doi":"https://doi.org/10.3115/v1/w15-1005","mag":"2251677926"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w15-1005","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1005","pdf_url":"https://doi.org/10.3115/v1/w15-1005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/w15-1005","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055427154","display_name":"Maryam Aminian","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Aminian","raw_affiliation_strings":["(George Washington University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(George Washington University)","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061244688","display_name":"Mahmoud Ghoneim","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Ghoneim","raw_affiliation_strings":["(George Washington University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(George Washington University)","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038581447","display_name":"Mona Diab","orcid":"https://orcid.org/0000-0002-7696-1436"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Diab","raw_affiliation_strings":["(George Washington University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(George Washington University)","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"48"},"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":0.9995999932289124,"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/T13629","display_name":"Text Readability and Simplification","score":0.9966999888420105,"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":0.8168615102767944},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7872991561889648},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.766504168510437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.747588038444519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6743232011795044},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6501150131225586},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5661396384239197},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.5617989897727966},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5004251003265381},{"id":"https://openalex.org/keywords/bilingual-dictionary","display_name":"Bilingual dictionary","score":0.4515399932861328},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.43379080295562744},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4158891439437866},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24692347645759583},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.134909987449646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8168615102767944},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7872991561889648},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.766504168510437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.747588038444519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6743232011795044},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6501150131225586},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5661396384239197},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.5617989897727966},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5004251003265381},{"id":"https://openalex.org/C2779235283","wikidata":"https://www.wikidata.org/wiki/Q2640207","display_name":"Bilingual dictionary","level":2,"score":0.4515399932861328},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.43379080295562744},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4158891439437866},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24692347645759583},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.134909987449646},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/w15-1005","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1005","pdf_url":"https://doi.org/10.3115/v1/w15-1005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/w15-1005","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1005","pdf_url":"https://doi.org/10.3115/v1/w15-1005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W589926652","https://openalex.org/W1603508585","https://openalex.org/W1631260214","https://openalex.org/W1934041838","https://openalex.org/W1963627718","https://openalex.org/W1979711143","https://openalex.org/W2005254050","https://openalex.org/W2077811574","https://openalex.org/W2081580037","https://openalex.org/W2101105183","https://openalex.org/W2101454539","https://openalex.org/W2118195382","https://openalex.org/W2123301721","https://openalex.org/W2124807415","https://openalex.org/W2136480620","https://openalex.org/W2136925175","https://openalex.org/W2139183784","https://openalex.org/W2144600658","https://openalex.org/W2146574666","https://openalex.org/W2147272182","https://openalex.org/W2149327368","https://openalex.org/W2153579005","https://openalex.org/W2156985047","https://openalex.org/W2166398872","https://openalex.org/W2250385164","https://openalex.org/W2250816155","https://openalex.org/W2251986002","https://openalex.org/W3168709314"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2463396630","https://openalex.org/W2400846488","https://openalex.org/W192184093","https://openalex.org/W274562914","https://openalex.org/W31012516"],"abstract_inverted_index":{"Lexical":[0],"false":[1,49,71],"friends":[2,50,72],"(FF)":[3],"are":[4],"the":[5,11,16,53,59,101],"phenomena":[6],"where":[7],"words":[8],"that":[9,63,78],"look":[10],"same,":[12],"do":[13],"not":[14],"have":[15],"same":[17],"meaning":[18],"or":[19],"lexical":[20,68],"usage.":[21],"FF":[22],"impose":[23],"several":[24],"challenges":[25],"to":[26,100],"statistical":[27],"machine":[28],"translation.":[29],"We":[30,61,76],"present":[31],"a":[32],"methodology":[33],"which":[34],"exploits":[35],"word":[36,45,82],"context":[37],"modeling":[38],"as":[39,41],"well":[40],"information":[42],"provided":[43],"by":[44,95],"alignments":[46],"for":[47,56,70,92],"identifying":[48],"and":[51,86,97],"choosing":[52],"right":[54],"sense":[55],"them":[57],"in":[58],"context.":[60],"show":[62],"our":[64,79],"approach":[65,80],"enhances":[66],"SMT":[67,94],"choice":[69],"across":[73],"language":[74],"variants.":[75],"demonstrate":[77],"reduces":[81],"error":[83,89],"rate":[84,90],"(WER)":[85],"position":[87],"independent":[88],"(PER)":[91],"Egyptian-English":[93],"0.6%":[96],"0.1%":[98],"compared":[99],"baseline.":[102]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
