{"id":"https://openalex.org/W1784836267","doi":"https://doi.org/10.1109/icassp.2015.7178337","title":"The shared dirichlet priors for bayesian language modeling","display_name":"The shared dirichlet priors for bayesian language modeling","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1784836267","doi":"https://doi.org/10.1109/icassp.2015.7178337","mag":"1784836267"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061908942"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2081","last_page":"2085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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":0.9980999827384949,"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":0.9970999956130981,"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/perplexity","display_name":"Perplexity","score":0.9225701093673706},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8586015701293945},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.8050065040588379},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7846044301986694},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7435542345046997},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6289860010147095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6258102059364319},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5417343974113464},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.49325793981552124},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4860292077064514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38141578435897827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33417320251464844},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.32875561714172363}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9225701093673706},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8586015701293945},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.8050065040588379},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7846044301986694},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7435542345046997},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6289860010147095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258102059364319},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5417343974113464},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.49325793981552124},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4860292077064514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38141578435897827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33417320251464844},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.32875561714172363},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W179875071","https://openalex.org/W943204654","https://openalex.org/W1597533204","https://openalex.org/W1631260214","https://openalex.org/W1663973292","https://openalex.org/W1718044877","https://openalex.org/W1880262756","https://openalex.org/W1934041838","https://openalex.org/W2015631279","https://openalex.org/W2031284124","https://openalex.org/W2052250648","https://openalex.org/W2088538739","https://openalex.org/W2116361377","https://openalex.org/W2118714763","https://openalex.org/W2129703168","https://openalex.org/W2132957691","https://openalex.org/W2154099718","https://openalex.org/W2158195707","https://openalex.org/W2594639291","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6607333740","https://openalex.org/W6624852173","https://openalex.org/W6629510986","https://openalex.org/W6636811518","https://openalex.org/W6639619044","https://openalex.org/W6680532216","https://openalex.org/W6682871038"],"related_works":["https://openalex.org/W4293734197","https://openalex.org/W4206967254","https://openalex.org/W2131689821","https://openalex.org/W2914864478","https://openalex.org/W2097627380","https://openalex.org/W2008338582","https://openalex.org/W4291700620","https://openalex.org/W1999586157","https://openalex.org/W22044811","https://openalex.org/W2625329765"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,42,56],"new":[3],"full":[4],"Bayesian":[5,100],"approach":[6],"for":[7,76],"language":[8,101,108],"modeling":[9],"based":[10],"on":[11],"the":[12,22,27,47,69,77,85,90,96,106,113,116,120],"shared":[13,75,86],"Dirichlet":[14,23,64],"priors.":[15],"This":[16,82],"model":[17,102],"is":[18,53,74,103],"constructed":[19],"by":[20,88],"introducing":[21],"distribution":[24,92],"to":[25,105,119],"represent":[26],"uncertainty":[28],"of":[29,44,58,79,93,115,125],"n-gram":[30,51,80,94],"parameters":[31],"in":[32,38,55,63,123],"training":[33,45,97],"phase":[34],"as":[35,37,68],"well":[36],"test":[39],"time.":[40],"Given":[41],"set":[43],"data,":[46],"marginal":[48,91],"likelihood":[49],"over":[50],"probabilities":[52],"illustrated":[54],"form":[57],"linearly-interpolated":[59],"n-grams.":[60],"The":[61],"hyperparameters":[62,87],"distributions":[65],"are":[66],"interpreted":[67],"prior":[70],"backoff":[71],"information":[72],"which":[73],"group":[78],"histories.":[81],"study":[83],"estimates":[84],"maximizing":[89],"given":[95],"data.":[98],"Such":[99],"connected":[104],"smoothed":[107],"model.":[109],"Experimental":[110],"results":[111],"show":[112],"superiority":[114],"proposed":[117],"method":[118],"other":[121],"methods":[122],"terms":[124],"perplexity":[126],"and":[127],"word":[128],"error":[129],"rate.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}