{"id":"https://openalex.org/W2157268555","doi":"https://doi.org/10.3115/v1/p14-2017","title":"Automatic Detection of Cognates Using Orthographic Alignment","display_name":"Automatic Detection of Cognates Using Orthographic Alignment","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2157268555","doi":"https://doi.org/10.3115/v1/p14-2017","mag":"2157268555"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-2017","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-2017","pdf_url":"https://doi.org/10.3115/v1/p14-2017","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/p14-2017","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038156267","display_name":"Alina Maria Ciobanu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alina Maria Ciobanu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057738797","display_name":"Liviu P. Dinu","orcid":"https://orcid.org/0000-0002-7559-6756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liviu P. Dinu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":43.7541,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.99681247,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9954000115394592,"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":0.8009642362594604},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.7695767879486084},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7030226588249207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690861582756042},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47123679518699646},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3411746919155121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009642362594604},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.7695767879486084},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7030226588249207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690861582756042},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47123679518699646},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3411746919155121},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p14-2017","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-2017","pdf_url":"https://doi.org/10.3115/v1/p14-2017","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-2017","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-2017","pdf_url":"https://doi.org/10.3115/v1/p14-2017","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1543107604","https://openalex.org/W1552011858","https://openalex.org/W1647671624","https://openalex.org/W1749856071","https://openalex.org/W1980219648","https://openalex.org/W1987718503","https://openalex.org/W1990061958","https://openalex.org/W2038721957","https://openalex.org/W2068448872","https://openalex.org/W2074231493","https://openalex.org/W2075149030","https://openalex.org/W2087064593","https://openalex.org/W2104924517","https://openalex.org/W2115755647","https://openalex.org/W2125257703","https://openalex.org/W2133990480","https://openalex.org/W2138247936","https://openalex.org/W2138500330","https://openalex.org/W2146563945","https://openalex.org/W2149823587","https://openalex.org/W2153599831","https://openalex.org/W2153635508","https://openalex.org/W2169232192","https://openalex.org/W2176198960","https://openalex.org/W2250657762","https://openalex.org/W2251111702","https://openalex.org/W2251659274","https://openalex.org/W2251845254","https://openalex.org/W2252037170","https://openalex.org/W2756976246","https://openalex.org/W2963010813"],"related_works":["https://openalex.org/W2384327295","https://openalex.org/W2004106894","https://openalex.org/W2363838046","https://openalex.org/W2358202658","https://openalex.org/W2161515301","https://openalex.org/W2375208202","https://openalex.org/W2038401148","https://openalex.org/W2141678088","https://openalex.org/W3021129567","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Words":[0],"undergo":[1],"various":[2],"changes":[3,15,60],"when":[4,64],"entering":[5,65],"new":[6,66],"languages.":[7],"Based":[8],"on":[9],"the":[10],"assumption":[11],"that":[12],"these":[13],"linguistic":[14,59,88],"follow":[16],"certain":[17],"rules,":[18],"we":[19],"propose":[20],"a":[21,76],"method":[22,33],"for":[23,37,49,58],"automatically":[24],"detecting":[25],"pairs":[26],"of":[27,78],"cognates":[28,72],"employing":[29],"an":[30],"orthographic":[31],"alignment":[32,39],"which":[34],"proved":[35],"relevant":[36],"sequence":[38],"in":[40,53],"computational":[41],"biology.":[42],"We":[43],"use":[44],"aligned":[45],"subsequences":[46],"as":[47],"features":[48],"machine":[50],"learning":[51],"algorithms":[52],"order":[54],"to":[55,69,95],"infer":[56],"rules":[57],"undergone":[61],"by":[62],"words":[63],"languages":[67],"and":[68,73],"discriminate":[70],"between":[71],"non-cognates.":[74],"Given":[75],"list":[77],"known":[79],"cognates,":[80],"our":[81],"approach":[82],"does":[83],"not":[84],"require":[85],"any":[86],"other":[87],"information.":[89],"However,":[90],"it":[91],"can":[92],"be":[93],"customized":[94],"integrate":[96],"historical":[97],"information":[98],"regarding":[99],"language":[100],"evolution.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
