{"id":"https://openalex.org/W149404703","doi":"https://doi.org/10.21437/eurospeech.2001-227","title":"Thai grapheme-to-phoneme using probabilistic GLR parser","display_name":"Thai grapheme-to-phoneme using probabilistic GLR parser","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W149404703","doi":"https://doi.org/10.21437/eurospeech.2001-227","mag":"149404703"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-227","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5010953616","display_name":"Pongthai Tarsaku","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pongthai Tarsaku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023273506","display_name":"Virach Sornlertlamvanich","orcid":"https://orcid.org/0000-0002-6918-8713"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Virach Sornlertlamvanich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088419138","display_name":"Rachod Thongprasirt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rachod Thongprasirt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.128,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.76157318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1057","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/grapheme","display_name":"Grapheme","score":0.8884660005569458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006854057312012},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6558960676193237},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6555593609809875},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6186600923538208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6178621649742126},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4654563069343567}],"concepts":[{"id":"https://openalex.org/C2776779415","wikidata":"https://www.wikidata.org/wiki/Q2545446","display_name":"Grapheme","level":3,"score":0.8884660005569458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006854057312012},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6558960676193237},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6555593609809875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6186600923538208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178621649742126},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4654563069343567},{"id":"https://openalex.org/C30080830","wikidata":"https://www.wikidata.org/wiki/Q169917","display_name":"Graphene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2001-227","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.8617","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.8617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://www.links.nectec.or.th/pub/paper/virach/eurospeech2001.pdf.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W204270118","https://openalex.org/W1890540806","https://openalex.org/W1995659479","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2506515307","https://openalex.org/W2060656088","https://openalex.org/W4385893898","https://openalex.org/W4285757703","https://openalex.org/W2383836440","https://openalex.org/W2610662399","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W1502858101"],"abstract_inverted_index":{"Many":[0],"difficulties":[1],"in":[2,15,22,40,51,94,121,132],"the":[3,8,52,56,66,71,74,76,86,95,109],"Thai":[4,25,34,104],"language":[5],"such":[6],"as":[7],"absence":[9],"of":[10,54,114,118,123,129,134,144],"boundary":[11],"word,":[12],"linking":[13],"syllables":[14],"pronunciation,":[16],"and":[17,42,88,127,146],"homographs":[18],"are":[19,31,38,91,140],"challenging":[20],"us":[21],"developing":[23],"a":[24,32,49,103],"Grapheme-to-Phoneme":[26],"(G2P)":[27],"converter.":[28],"Presently":[29],"there":[30],"couple":[33],"G2P":[35,105],"systems":[36],"which":[37],"proposed":[39],"ruled-based":[41],"decision-tree":[43,59,147],"approach.":[44,111],"The":[45,58,112],"rule-based":[46,145],"approach":[47,60,81],"has":[48],"drawback":[50],"limitation":[53],"employing":[55],"context.":[57],"is":[61,82],"somehow":[62],"able":[63],"to":[64,142],"capture":[65],"local":[67,89],"context":[68,90],"for":[69],"making":[70],"decision.":[72],"On":[73],"contrary,":[75],"Probabilistic":[77],"Generalized":[78],"LR":[79],"(PGLR)":[80],"reported":[83],"that":[84],"both":[85],"global":[87],"efficiently":[92],"captured":[93],"probabilistic":[96],"model.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101],"implement":[102],"system":[106],"based":[107],"on":[108],"PGLR":[110],"result":[113],"experiment":[115],"shows":[116],"90.44%":[117],"word":[119,130],"accuracy":[120,131],"case":[122,133],"ignoring":[124],"vowels":[125],"length":[126],"72.87%":[128],"exact":[135],"match":[136],"evaluation.":[137],"These":[138],"results":[139],"superior":[141],"those":[143],"approaches.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}