{"id":"https://openalex.org/W172276452","doi":"https://doi.org/10.21437/interspeech.2009-124","title":"Topic dependent language model based on topic voting on noun history","display_name":"Topic dependent language model based on topic voting on noun history","publication_year":2009,"publication_date":"2009-09-06","ids":{"openalex":"https://openalex.org/W172276452","doi":"https://doi.org/10.21437/interspeech.2009-124","mag":"172276452"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2009-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-124","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":"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/A5067201583","display_name":"Welly Naptali","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Welly Naptali","raw_affiliation_strings":["Toyohashi University of Technology, Toyohashi, Japan"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047336359","display_name":"Masatoshi Tsuchiya","orcid":"https://orcid.org/0000-0003-1862-8149"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Tsuchiya","raw_affiliation_strings":["Toyohashi University of Technology, Toyohashi, Japan"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018428974","display_name":"Seiichi Nakagawa","orcid":"https://orcid.org/0000-0002-6533-5536"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Nakagawa","raw_affiliation_strings":["Toyohashi University of Technology, Toyohashi, Japan"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067201583"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78281325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2683","last_page":"2686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983000159263611,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.870042085647583},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.8532320261001587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8378026485443115},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6856709718704224},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6807461977005005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6482002139091492},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6461718082427979},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6295088529586792},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5125198364257812},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4661957323551178},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.4500645697116852},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.43779581785202026},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4139171242713928},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2327139973640442}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.870042085647583},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.8532320261001587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378026485443115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6856709718704224},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6807461977005005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6482002139091492},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6461718082427979},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6295088529586792},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5125198364257812},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4661957323551178},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.4500645697116852},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.43779581785202026},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4139171242713928},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2327139973640442},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2009-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-124","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W65340009","https://openalex.org/W1574845294","https://openalex.org/W1612003148","https://openalex.org/W1631260214","https://openalex.org/W1880262756","https://openalex.org/W2056250865","https://openalex.org/W2121227244","https://openalex.org/W2121853761","https://openalex.org/W2127836646","https://openalex.org/W2130696866"],"related_works":["https://openalex.org/W4293734197","https://openalex.org/W4206967254","https://openalex.org/W1551384396","https://openalex.org/W2251863249","https://openalex.org/W4291700620","https://openalex.org/W2131689821","https://openalex.org/W2132052677","https://openalex.org/W3159709618","https://openalex.org/W2921491680","https://openalex.org/W4396666968"],"abstract_inverted_index":{"Language":[0],"models":[1],"(LMs)":[2],"are":[3],"important":[4],"in":[5,28,45],"automatic":[6],"speech":[7],"recognition":[8],"systems.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13],"propose":[14],"a":[15,19,56,78,107,114],"new":[16],"approach":[17],"to":[18,38],"topic":[20,25,52,123,128,135],"dependent":[21,124],"LM,":[22,110,113,116],"where":[23],"the":[24,46,51,83,103,118],"is":[26,36,63,67],"decided":[27],"an":[29,54],"unsupervised":[30],"manner.":[31],"Latent":[32,119],"Semantic":[33],"Analysis":[34],"(LSA)":[35],"employed":[37],"reveal":[39],"hidden":[40],"(latent)":[41],"relations":[42],"among":[43],"nouns":[44],"context":[47],"words.":[48],"To":[49],"decide":[50],"of":[53],"event,":[55],"fixed":[57],"size":[58],"word":[59],"history":[60],"sequence":[61],"(window)":[62],"observed,":[64],"and":[65,88,117],"voting":[66,136],"then":[68],"carried":[69],"out":[70],"based":[71],"on":[72,82],"noun":[73],"class":[74],"occurrences":[75],"weighted":[76],"by":[77],"confidence":[79],"measure.":[80],"Experiments":[81],"Wall":[84],"Street":[85],"Journal":[86],"corpus":[87,93],"Mainichi":[89],"Shimbun":[90],"(Japanese":[91],"newspaper)":[92],"show":[94],"that":[95],"our":[96],"proposed":[97],"method":[98],"gives":[99],"better":[100],"perplexity":[101],"than":[102],"comparative":[104],"baselines,":[105],"including":[106],"word-based/class-based":[108],"n-gram":[109],"their":[111],"interpolated":[112],"cache-based":[115],"Dirichlet":[120],"Allocation":[121],"(LDA)-based":[122],"LM.":[125],"Index":[126],"Terms:":[127],"dependent,":[129],"language":[130],"model,":[131],"latent":[132],"semantic":[133],"analysis,":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}