{"id":"https://openalex.org/W92308982","doi":"https://doi.org/10.21437/eurospeech.2003-77","title":"Bayesian induction of intonational phrase breaks","display_name":"Bayesian induction of intonational phrase breaks","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W92308982","doi":"https://doi.org/10.21437/eurospeech.2003-77","mag":"92308982"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-77","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-77","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5109328120","display_name":"P Zervas","orcid":"https://orcid.org/0000-0003-2710-1066"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Zervas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012359011","display_name":"Manolis \u039caragoudakis","orcid":"https://orcid.org/0000-0001-7701-0141"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Maragoudakis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108443941","display_name":"Nikos Fakotakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikos Fakotakis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109187402","display_name":"George Kokkinakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Kokkinakis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3442,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88863414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955000281333923,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955000281333923,"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":0.9894000291824341,"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":0.982200026512146,"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/phrase","display_name":"Phrase","score":0.7031124830245972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244838237762451},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5638977289199829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321988463401794},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5121252536773682},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3569088280200958}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7031124830245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244838237762451},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5638977289199829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321988463401794},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5121252536773682},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3569088280200958}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-77","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-77","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.78.9111","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.9111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://slt.wcl.ee.upatras.gr/papers/zervas1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W65791558","https://openalex.org/W396357221","https://openalex.org/W1521476198","https://openalex.org/W1559644489","https://openalex.org/W1604793456","https://openalex.org/W1907547768","https://openalex.org/W1942270970","https://openalex.org/W2025617415","https://openalex.org/W2059170137","https://openalex.org/W2083675498","https://openalex.org/W2091962429","https://openalex.org/W2112081648","https://openalex.org/W2159080219","https://openalex.org/W2170112109"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2012262991","https://openalex.org/W2373794620","https://openalex.org/W2060629350","https://openalex.org/W2357294589","https://openalex.org/W2386861027","https://openalex.org/W2349302580","https://openalex.org/W2390154576","https://openalex.org/W2916983164","https://openalex.org/W3204019825"],"abstract_inverted_index":{"For":[0],"the":[1,9,27,39,62,66,107,128],"present":[2],"paper,":[3],"a":[4,71,119],"Bayesian":[5,31,109,123],"probabilistic":[6],"framework":[7],"for":[8,106,112,139],"task":[10],"of":[11,14,53,68,133],"automatic":[12],"acquisition":[13],"intonational":[15,81],"phrase":[16,69,82,141],"breaks":[17],"was":[18,59],"established.":[19],"By":[20],"considering":[21],"two":[22],"different":[23],"conditional":[24],"independence":[25],"assumptions,":[26],"na\u00efve":[28],"Bayes":[29],"and":[30,36,56,65,99,136],"networks":[32,124],"approaches":[33],"were":[34],"regarded":[35],"evaluated":[37],"against":[38],"CART":[40],"algorithm,":[41],"which":[42],"has":[43,76],"been":[44,78],"previously":[45],"used":[46,90],"with":[47],"success.":[48],"A":[49],"finite":[50],"length":[51],"window":[52],"minimal":[54],"morphological":[55],"syntactic":[57,73,94],"resources":[58],"incorporated,":[60],"i.e.":[61],"POS":[63],"label":[64],"kind":[67],"boundary,":[70],"novel":[72],"feature":[74,87],"that":[75],"not":[77,97,104],"applied":[79],"to":[80,101,126],"break":[83],"detection":[84],"before.":[85],"This":[86],"can":[88],"be":[89,102,127],"in":[91,131],"languages":[92],"where":[93],"parsers":[95],"are":[96],"available":[98],"proves":[100],"important,":[103],"only":[105],"proposed":[108],"methodologies":[110],"but":[111],"other":[113],"algorithms,":[114],"like":[115],"CART.":[116],"Trained":[117],"on":[118],"5500":[120],"word":[121],"database,":[122],"proved":[125],"most":[129],"effective":[130],"terms":[132],"precision":[134],"(82,3%)":[135],"recall":[137],"(77,2%)":[138],"predicting":[140],"breaks.":[142],"1.":[143]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
