{"id":"https://openalex.org/W2001484875","doi":"https://doi.org/10.1080/09296170500500884","title":"Automatic lemmatization of Persian words*","display_name":"Automatic lemmatization of Persian words*","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2001484875","doi":"https://doi.org/10.1080/09296170500500884","mag":"2001484875"},"language":"en","primary_location":{"id":"doi:10.1080/09296170500500884","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170500500884","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052468484","display_name":"Tayebeh Mosavi Miangah","orcid":"https://orcid.org/0000-0002-6528-2876"},"institutions":[{"id":"https://openalex.org/I127908078","display_name":"Shahrekord University","ror":"https://ror.org/051rngw70","country_code":"IR","type":"education","lineage":["https://openalex.org/I127908078"]},{"id":"https://openalex.org/I170350485","display_name":"Shahrekord University of Medical Sciences","ror":"https://ror.org/0506tgm76","country_code":"IR","type":"education","lineage":["https://openalex.org/I170350485"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Tayebeh Mosavi Miangah","raw_affiliation_strings":["Shahre kord Universiy, Shahre kord, Iran","Shahre kord Universiy , Shahre kord, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shahre kord Universiy, Shahre kord, Iran","institution_ids":["https://openalex.org/I127908078","https://openalex.org/I170350485"]},{"raw_affiliation_string":"Shahre kord Universiy , Shahre kord, Iran","institution_ids":["https://openalex.org/I127908078"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052468484"],"corresponding_institution_ids":["https://openalex.org/I127908078","https://openalex.org/I170350485"],"apc_list":null,"apc_paid":null,"fwci":1.6655,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87625061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9458000063896179,"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9366999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/prefix","display_name":"Prefix","score":0.8405135273933411},{"id":"https://openalex.org/keywords/persian","display_name":"Persian","score":0.7969851493835449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831801772117615},{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.7362197041511536},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6649454236030579},{"id":"https://openalex.org/keywords/lemmatisation","display_name":"Lemmatisation","score":0.6615768074989319},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.5890876650810242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5866553783416748},{"id":"https://openalex.org/keywords/agglutinative-language","display_name":"Agglutinative language","score":0.5531236529350281},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.49923205375671387},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.498431921005249},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.48914340138435364},{"id":"https://openalex.org/keywords/compound","display_name":"Compound","score":0.4371771812438965},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22875037789344788},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1068795919418335},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.10454392433166504}],"concepts":[{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.8405135273933411},{"id":"https://openalex.org/C2776527531","wikidata":"https://www.wikidata.org/wiki/Q9168","display_name":"Persian","level":2,"score":0.7969851493835449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831801772117615},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.7362197041511536},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6649454236030579},{"id":"https://openalex.org/C161831844","wikidata":"https://www.wikidata.org/wiki/Q2554325","display_name":"Lemmatisation","level":2,"score":0.6615768074989319},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.5890876650810242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5866553783416748},{"id":"https://openalex.org/C80875076","wikidata":"https://www.wikidata.org/wiki/Q171263","display_name":"Agglutinative language","level":3,"score":0.5531236529350281},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.49923205375671387},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.498431921005249},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.48914340138435364},{"id":"https://openalex.org/C2674912","wikidata":"https://www.wikidata.org/wiki/Q245423","display_name":"Compound","level":2,"score":0.4371771812438965},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22875037789344788},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1068795919418335},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.10454392433166504},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09296170500500884","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170500500884","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1578410684","https://openalex.org/W2004316800","https://openalex.org/W2098162425","https://openalex.org/W2170839734","https://openalex.org/W3175327519"],"related_works":["https://openalex.org/W3157818565","https://openalex.org/W2596390223","https://openalex.org/W2187070383","https://openalex.org/W4281690118","https://openalex.org/W2185684897","https://openalex.org/W4319049525","https://openalex.org/W3215822304","https://openalex.org/W2355883507","https://openalex.org/W4220850540","https://openalex.org/W2382940462"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,19,27,33,129,142],"rather":[4],"novel":[5],"method":[6,16,95],"for":[7,96,145],"suffix":[8],"and":[9,23,39,57,67,77,88],"prefix":[10],"stripping":[11],"of":[12,32,35,51,75,79,90,106,114,121],"Persian":[13,98,134],"words.":[14],"The":[15,73,93],"presented":[17],"is":[18,82,117],"language":[20],"independent":[21],"one":[22],"mostly":[24],"relies":[25],"on":[26,84],"specially":[28],"arranged":[29],"corpus":[30],"composed":[31],"list":[34],"roots,":[36],"word-forms,":[37],"prefixes,":[38],"suffixes":[40,58],"which":[41,97],"has":[42],"been":[43,101],"manually":[44],"compiled.":[45],"Applying":[46],"an":[47,104],"algorithm,":[48],"the":[49,70,85,91,111,119],"morphemes":[50],"each":[52,62],"word":[53],"including":[54],"root,":[55],"prefix,":[56],"are":[59],"separated":[60],"from":[61,133],"other":[63,137],"specifying":[64],"their":[65],"place":[66],"order":[68],"in":[69,108,118,128],"given":[71],"word.":[72],"degree":[74],"accuracy":[76,105],"precision":[78],"this":[80,115,140],"program":[81],"dependent":[83],"representative":[86],"characteristics":[87],"richness":[89],"corpus.":[92],"present":[94],"words":[99],"have":[100],"tested":[102],"represents":[103],"87.24%":[107],"Persian.":[109],"Although":[110],"main":[112],"application":[113],"algorithm":[116],"field":[120],"information":[122],"retrieval,":[123],"it":[124],"can":[125],"be":[126,149],"used":[127],"machine":[130],"translation":[131],"system":[132],"into":[135],"any":[136],"language.":[138],"In":[139],"case":[141],"stem":[143],"dictionary":[144],"morphological":[146],"analysis":[147],"should":[148],"used.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}