{"id":"https://openalex.org/W4200363935","doi":"https://doi.org/10.13053/cys-25-4-4044","title":"Part-Of-Speech Tagging for Mizo Language Using Conditional Random Field","display_name":"Part-Of-Speech Tagging for Mizo Language Using Conditional Random Field","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4200363935","doi":"https://doi.org/10.13053/cys-25-4-4044"},"language":"es","primary_location":{"id":"doi:10.13053/cys-25-4-4044","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-25-4-4044","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","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/A5065882791","display_name":"Morrel V. L. Nunsanga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morrel VL Nunsanga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017734144","display_name":"Partha Pakray","orcid":"https://orcid.org/0000-0003-3834-5154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Partha Pakray","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046890378","display_name":"C. Lallawmsanga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Lallawmsanga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056718367","display_name":"L. Lolit Kumar Singh","orcid":"https://orcid.org/0000-0003-0875-5427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Lolit Kumar Singh","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":0.8189,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7865262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9819999933242798,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.958899974822998,"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/conditional-random-field","display_name":"Conditional random field","score":0.8863846063613892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487886548042297},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.7373892664909363},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7151919007301331},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.671139121055603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6641164422035217},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5299718379974365},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4854150712490082},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4660310447216034},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4630683958530426},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45554983615875244},{"id":"https://openalex.org/keywords/part-of-speech-tagging","display_name":"Part-of-speech tagging","score":0.442771315574646},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43316125869750977},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4234352111816406},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4100390672683716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12095558643341064}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8863846063613892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487886548042297},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.7373892664909363},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7151919007301331},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.671139121055603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6641164422035217},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5299718379974365},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4854150712490082},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4660310447216034},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4630683958530426},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45554983615875244},{"id":"https://openalex.org/C2780684714","wikidata":"https://www.wikidata.org/wiki/Q1271424","display_name":"Part-of-speech tagging","level":3,"score":0.442771315574646},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43316125869750977},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4234352111816406},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4100390672683716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12095558643341064},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-25-4-4044","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-25-4-4044","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2577088515","https://openalex.org/W1965453504","https://openalex.org/W2396342956","https://openalex.org/W1982302668","https://openalex.org/W2486838646","https://openalex.org/W2949108231","https://openalex.org/W2626026432","https://openalex.org/W2370711060","https://openalex.org/W2461358282","https://openalex.org/W4200363935"],"abstract_inverted_index":{"Part":[0],"of":[1,26,32,36,48,64,86,101,120],"speech":[2,27],"(POS)":[3],"tagging":[4,50],"assigns":[5],"a":[6,14,20,44,65,77,87],"class":[7,31],"or":[8,28],"tag":[9,17,92],"to":[10,19],"each":[11],"token":[12],"in":[13,58,95],"sentence.":[15],"The":[16,46,74],"allocated":[18],"word":[21,89],"is":[22,56,76],"mainly":[23],"its":[24],"part":[25],"any":[29],"other":[30],"interest.":[33],"Several":[34],"applications":[35],"Natural":[37],"Language":[38],"Processing":[39],"(NLP)":[40],"require":[41],"it":[42],"as":[43,69],"prerequisite.":[45],"development":[47],"part-of-speech":[49],"for":[51,114],"the":[52,84,91,96,111,125],"under-resourced":[53],"Mizo":[54],"language":[55],"presented":[57],"this":[59],"study,":[60],"which":[61],"makes":[62],"use":[63],"stochastic":[66],"model":[67],"known":[68],"Conditional":[70],"Random":[71],"Field":[72],"(CRF).":[73],"CRF":[75],"discriminative":[78],"probabilistic":[79],"classifier":[80],"that":[81],"considers":[82],"both":[83],"context":[85],"given":[88],"and":[90,107,122,137],"transition":[93],"probabilities":[94],"training":[97,121],"dataset.":[98],"A":[99],"corpus":[100],"approximately":[102],"30,000":[103],"words":[104],"was":[105],"collected":[106],"manually":[108],"annotated":[109],"with":[110],"proposed":[112],"tagset":[113],"system":[115],"evaluation.":[116],"On":[117],"various":[118],"sizes":[119],"test":[123],"sets,":[124],"tagger":[126],"achieved":[127],"89.46":[128],"%":[129,132,135,139],"accuracy,":[130],"89.3":[131],"F1-score,":[133],"89.42":[134],"precision,":[136],"89.48":[138],"recall.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
