{"id":"https://openalex.org/W4238475410","doi":"https://doi.org/10.18653/v1/w17-4009","title":"Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary","display_name":"Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W4238475410","doi":"https://doi.org/10.18653/v1/w17-4009"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4009","pdf_url":"https://www.aclweb.org/anthology/W17-4009.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 13th International Conference on Finite State\n          Methods and Natural Language Processing (FSMNLP 2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4009.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100343991","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0002-4138-3082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Liu","raw_affiliation_strings":["Department of Linguistics University of Colorado"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics University of Colorado","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001438384","display_name":"Mans Hulden","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mans Hulden","raw_affiliation_strings":["Department of Linguistics University of Colorado"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics University of Colorado","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2065,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69639183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"74"},"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":0.9972000122070312,"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/T12031","display_name":"Speech and dialogue systems","score":0.9764000177383423,"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/inflection","display_name":"Inflection","score":0.93320631980896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8573553562164307},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7907196283340454},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6280242800712585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772933959960938},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5124959945678711},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.48981568217277527},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.42953944206237793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3141327500343323}],"concepts":[{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.93320631980896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8573553562164307},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7907196283340454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6280242800712585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772933959960938},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5124959945678711},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.48981568217277527},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.42953944206237793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3141327500343323}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-4009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4009","pdf_url":"https://www.aclweb.org/anthology/W17-4009.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 13th International Conference on Finite State\n          Methods and Natural Language Processing (FSMNLP 2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4009","pdf_url":"https://www.aclweb.org/anthology/W17-4009.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 13th International Conference on Finite State\n          Methods and Natural Language Processing (FSMNLP 2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4238475410.pdf","grobid_xml":"https://content.openalex.org/works/W4238475410.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W82340936","https://openalex.org/W1642393990","https://openalex.org/W1860589838","https://openalex.org/W2110372834","https://openalex.org/W2126241965","https://openalex.org/W2251421525","https://openalex.org/W2251652123","https://openalex.org/W2296246537","https://openalex.org/W2508815538","https://openalex.org/W2516069911","https://openalex.org/W2574182335","https://openalex.org/W2886452452","https://openalex.org/W2963752701"],"related_works":["https://openalex.org/W2055902791","https://openalex.org/W2031827091","https://openalex.org/W1545736047","https://openalex.org/W4255541255","https://openalex.org/W2064751275","https://openalex.org/W4300462348","https://openalex.org/W75369696","https://openalex.org/W2624014444","https://openalex.org/W2510117412","https://openalex.org/W58877236"],"abstract_inverted_index":{"Wiktionary":[0,74],"provides":[1],"lexical":[2],"information":[3],"for":[4,19,58],"an":[5,34],"increasing":[6],"number":[7],"of":[8,24,28,37,66,73,84],"languages,":[9],"including":[10],"morphological":[11,45,59],"inflection":[12,46,64],"tables.":[13],"It":[14],"is":[15],"a":[16,29,38],"good":[17],"resource":[18],"automatically":[20],"learning":[21],"rule-based":[22],"analysis":[23],"the":[25,70,82,85],"inflectional":[26],"morphology":[27],"language.":[30],"This":[31],"paper":[32],"performs":[33],"extensive":[35],"evaluation":[36],"method":[39],"to":[40,52,77],"extract":[41],"generalized":[42],"paradigms":[43,91],"from":[44,69],"tables,":[47],"which":[48],"can":[49],"be":[50],"converted":[51,76],"weighted":[53],"and":[54,61,81],"unweighted":[55],"finite":[56],"transducers":[57],"parsing":[60],"generation.":[62],"The":[63],"tables":[65],"55":[67],"languages":[68],"English":[71],"edition":[72],"are":[75,92],"such":[78],"general":[79],"paradigms,":[80],"performance":[83],"probabilistic":[86],"parsers":[87],"based":[88],"on":[89],"these":[90],"tested.":[93]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}