{"id":"https://openalex.org/W2134834927","doi":"https://doi.org/10.1109/nlpke.2008.4906778","title":"Generating lexico pattern for dimensioning of Chinese separable verb-object words in Chinese text","display_name":"Generating lexico pattern for dimensioning of Chinese separable verb-object words in Chinese text","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2134834927","doi":"https://doi.org/10.1109/nlpke.2008.4906778","mag":"2134834927"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2008.4906778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-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/A5073930203","display_name":"Kaiyan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kaiyan Huang","raw_affiliation_strings":["University of Tokushima, Tokushima, Japan","Univ. of Tokushima., Tokushima"],"affiliations":[{"raw_affiliation_string":"University of Tokushima, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Univ. of Tokushima., Tokushima","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","University of Tokushima, Tokushima, Japan","Univ. of Tokushima., Tokushima"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"University of Tokushima, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Univ. of Tokushima., Tokushima","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103121884","display_name":"Fuji Ren","orcid":"https://orcid.org/0009-0001-4935-8471"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Fuji Ren","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","University of Tokushima, Tokushima, Japan","Univ. of Tokushima., Tokushima"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"University of Tokushima, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Univ. of Tokushima., Tokushima","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073930203"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":0.5721,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79147258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9800999760627747,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9383000135421753,"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/natural-language-processing","display_name":"Natural language processing","score":0.7321871519088745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218477725982666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485320329666138},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.6439480781555176},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.5668176412582397},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5655431747436523},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.49756625294685364},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.48031085729599},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.4790319502353668},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.46758246421813965},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.45386552810668945},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4240031838417053},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3853371739387512},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3324200510978699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18688952922821045}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7321871519088745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218477725982666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485320329666138},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.6439480781555176},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.5668176412582397},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5655431747436523},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.49756625294685364},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.48031085729599},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.4790319502353668},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.46758246421813965},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45386552810668945},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4240031838417053},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3853371739387512},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3324200510978699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18688952922821045},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2008.4906778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320323325","display_name":"University of Tokushima","ror":"https://ror.org/044vy1d05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3114699995","https://openalex.org/W4313328363","https://openalex.org/W2395587213","https://openalex.org/W4286520541","https://openalex.org/W3164343361","https://openalex.org/W4205975177","https://openalex.org/W1987033219","https://openalex.org/W2395493144","https://openalex.org/W2369094010","https://openalex.org/W2107542522"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"pay":[4],"attention":[5],"to":[6,56],"the":[7,47],"Chinese":[8,83],"separable":[9,20,28,44,79],"verb-object":[10],"words":[11,21,29,45],"in":[12,82],"sentences.":[13],"We":[14],"collect":[15],"sentences":[16,34],"with":[17,38],"morphemes":[18],"of":[19,27,40,49,78],"employing":[22],"search":[23],"engine":[24],"for":[25,75],"thousands":[26],"collected":[30,67],"by":[31,61],"linguist.":[32],"Then":[33],"are":[35,71],"tagged":[36],"artificially":[37],"agreement":[39],"whether":[41],"being":[42],"used":[43],"on":[46],"result":[48],"word":[50,80,86],"segmentation":[51,87],"and":[52,63,73,88],"part-of-speech":[53,89],"tagging,":[54],"According":[55],"typical":[57],"grammar":[58],"patterns":[59,64,70],"discovered":[60],"linguists":[62],"shared":[65],"among":[66],"sentences,":[68],"lexical":[69],"generated":[72],"optimized":[74],"further":[76],"process":[77],"tagging":[81],"document":[84],"after":[85],"tagging.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
