{"id":"https://openalex.org/W2059842576","doi":"https://doi.org/10.3115/1118647.1118649","title":"Unsupervised learning of morphology using a novel directed search algorithm","display_name":"Unsupervised learning of morphology using a novel directed search algorithm","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2059842576","doi":"https://doi.org/10.3115/1118647.1118649","mag":"2059842576"},"language":"en","primary_location":{"id":"doi:10.3115/1118647.1118649","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118647.1118649","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118649&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Morphological and phonological learning -","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=1118649&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027655932","display_name":"Matthew Snover","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew G. Snover","raw_affiliation_strings":["Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","Washington University, St. Louis, Mo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Washington University, St. Louis, Mo","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011308665","display_name":"Gaja Jarosz","orcid":"https://orcid.org/0000-0002-8606-4704"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaja E. Jarosz","raw_affiliation_strings":["Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","Washington University, St. Louis, Mo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Washington University, St. Louis, Mo","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010345611","display_name":"Michael R. Brent","orcid":"https://orcid.org/0000-0002-8689-0299"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael R. Brent","raw_affiliation_strings":["Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","Washington University, St. Louis, Mo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Washington University St Louis, MO, USA, 63130-4809 ms9,","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Washington University, St. Louis, Mo","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":1.1221,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.78062034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"11","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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":0.9952999949455261,"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":0.7365079522132874},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6891127824783325},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6788747906684875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6593976616859436},{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology (biology)","score":0.5479601621627808},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5304697751998901},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.4372691512107849},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43198102712631226},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41146624088287354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39190447330474854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35255348682403564},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35168975591659546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17399898171424866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08895793557167053},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.08506336808204651}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365079522132874},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6891127824783325},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6788747906684875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593976616859436},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.5479601621627808},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5304697751998901},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.4372691512107849},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43198102712631226},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41146624088287354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39190447330474854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35255348682403564},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35168975591659546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17399898171424866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08895793557167053},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.08506336808204651},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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:10.3115/1118647.1118649","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118647.1118649","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118649&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Morphological and phonological learning -","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1118647.1118649","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118647.1118649","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118649&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 workshop on Morphological and phonological learning -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2059842576.pdf","grobid_xml":"https://content.openalex.org/works/W2059842576.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W98065071","https://openalex.org/W1533169541","https://openalex.org/W2047603832","https://openalex.org/W2101711363","https://openalex.org/W2105378193","https://openalex.org/W2114986384","https://openalex.org/W2141684702","https://openalex.org/W2573934436"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W4394659737","https://openalex.org/W2759814045","https://openalex.org/W2118055728","https://openalex.org/W4399756845","https://openalex.org/W2382904344","https://openalex.org/W3120329059","https://openalex.org/W2461976178"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,22,27],"system":[4,18],"for":[5],"the":[6,40,52,55,76],"unsupervised":[7,71],"learning":[8,73],"of":[9,21,36,54,78],"morphological":[10,56],"suffixes":[11],"and":[12,26,62],"stems":[13],"from":[14],"word":[15],"lists.":[16],"The":[17],"is":[19],"composed":[20],"generative":[23],"probability":[24],"model":[25],"novel":[28],"search":[29,41],"algorithm.":[30],"By":[31],"examining":[32],"morphologically":[33],"rich":[34],"subsets":[35],"an":[37],"input":[38],"lexicon,":[39],"identifies":[42],"highly":[43],"productive":[44],"paradigms.":[45],"Quantitative":[46],"results":[47],"are":[48],"shown":[49],"by":[50],"measuring":[51],"accuracy":[53],"relations":[57],"identified.":[58],"Experiments":[59],"in":[60],"English":[61],"Polish,":[63],"as":[64,66],"well":[65],"comparisons":[67],"with":[68],"other":[69],"recent":[70],"morphology":[72],"algorithms":[74],"demonstrate":[75],"effectiveness":[77],"this":[79],"technique.":[80]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}