{"id":"https://openalex.org/W159318626","doi":"https://doi.org/10.21437/interspeech.2009-248","title":"Vocabulary expansion through automatic abbreviation generation for Chinese voice search","display_name":"Vocabulary expansion through automatic abbreviation generation for Chinese voice search","publication_year":2009,"publication_date":"2009-09-06","ids":{"openalex":"https://openalex.org/W159318626","doi":"https://doi.org/10.21437/interspeech.2009-248","mag":"159318626"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2009-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100590170/ATD100000413/E09-15%20secured.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dong Yang","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, 2-12-1-W8-E601, Ookayama, Meguro-ku, Tokyo 152-8552, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, 2-12-1-W8-E601, Ookayama, Meguro-ku, Tokyo 152-8552, Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014110043","display_name":"Yicheng Pan","orcid":"https://orcid.org/0000-0003-4918-3808"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-cheng Pan","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009532108","display_name":"Sadaoki Furui","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadaoki Furui","raw_affiliation_strings":["Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6918,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82432623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"26","issue":"No. 5","first_page":"728","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9836000204086304,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9639999866485596,"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":0.8839900493621826},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.8360891342163086},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7175341844558716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001187562942505},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45119708776474},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.4470243752002716},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.362251341342926},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18866199254989624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8839900493621826},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.8360891342163086},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7175341844558716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001187562942505},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45119708776474},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4470243752002716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.362251341342926},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18866199254989624},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2009-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004030650","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100590170","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100590170/ATD100000413/E09-15%20secured.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"INTERSPEECH 2009 BRIGHTON","raw_type":"conference paper"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004059041","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100644699","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Speech and Language","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004030650","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100590170","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100590170/ATD100000413/E09-15%20secured.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"INTERSPEECH 2009 BRIGHTON","raw_type":"conference paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W159318626.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2093471820","https://openalex.org/W50079190","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W2347460059","https://openalex.org/W2111726165","https://openalex.org/W1984858032","https://openalex.org/W2886890203","https://openalex.org/W3080906831"],"abstract_inverted_index":{"Long":[0],"organization":[1,38],"names":[2,39],"are":[3,19,55],"often":[4],"abbreviated":[5,10,173],"in":[6,22],"spoken":[7],"Chinese,":[8],"and":[9,34,58,74,102,123,135],"utterances":[11],"cannot":[12],"be":[13],"recognized":[14],"correctly":[15],"if":[16],"the":[17,23,41,82,94,109,112,127,131,139,148,154,165,169,177,187,192],"abbreviations":[18,36,46,53,73],"not":[20],"included":[21],"recognition":[24],"vocabulary.":[25,42,149,193],"Therefore,":[26],"it":[27],"is":[28,47,116],"very":[29],"important":[30],"to":[31,40,183,191],"automatically":[32,70],"generate":[33],"add":[35,144],"for":[37,69,85,153],"Generation":[43],"of":[44,81,114,138,162],"Chinese":[45,72],"much":[48],"more":[49],"complex":[50],"than":[51],"English":[52],"which":[54,115],"mostly":[56],"acronyms":[57],"truncations.":[59],"In":[60,88,126,150],"this":[61],"paper,":[62],"we":[63,75,92,143,157,175],"propose":[64],"a":[65,99,120,159],"new":[66],"hybrid":[67],"method":[68],"generating":[71],"perform":[76],"vocabulary":[77,128],"expansion":[78],"using":[79,172],"output":[80,113],"abbreviation":[83,90,95,133,141,155,189],"model":[84,122],"voice":[86,170],"search.":[87],"our":[89,151],"modeling,":[91,156],"treat":[93],"generation":[96],"problem":[97,101],"as":[98,108],"tagging":[100,110],"use":[103],"conditional":[104],"random":[105],"fields":[106],"(CRF)":[107],"tool,":[111],"then":[117],"re-ranked":[118],"by":[119,185],"length":[121],"web":[124],"information.":[125],"expansion,":[129],"considering":[130],"multiple":[132],"phenomenon":[134],"limited":[136],"coverage":[137,161],"top-1":[140],"candidate,":[142],"top-10":[145,160,188],"candidates":[146,190],"into":[147],"experiments,":[152],"achieved":[158],"88.3%":[163],"with":[164],"proposed":[166],"method.":[167],"For":[168],"search":[171,179],"utterances,":[174],"improved":[176],"full-name":[178],"accuracy":[180],"from":[181],"16.9%":[182],"79.2%":[184],"incorporating":[186]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}
