{"id":"https://openalex.org/W110761666","doi":"https://doi.org/10.21437/icslp.1998-225","title":"Language identification incorporating lexical information","display_name":"Language identification incorporating lexical information","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W110761666","doi":"https://doi.org/10.21437/icslp.1998-225","mag":"110761666"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-225","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","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/A5017334281","display_name":"Driss Matrouf","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115485","display_name":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","ror":"https://ror.org/01raq4x89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210115485","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Driss Matrouf","raw_affiliation_strings":["Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","institution_ids":["https://openalex.org/I4210115485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041761844","display_name":"Martine Adda\u2010Decker","orcid":"https://orcid.org/0000-0003-2154-7438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martine Adda-Decker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062446882","display_name":"Lori Lamel","orcid":"https://orcid.org/0000-0001-7443-9938"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lori F. Lamel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109214406","display_name":"Jean\u2010Luc Gauvain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Luc Gauvain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9758,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.71196265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"paper 0990","last_page":"0"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/bigram","display_name":"Bigram","score":0.9862667918205261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472322225570679},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.7407076954841614},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6669648885726929},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6299166679382324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.619192898273468},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5906023383140564},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5720747709274292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393602252006531},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.536666989326477},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4917965233325958},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.43771904706954956},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4375160336494446},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42571061849594116},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.26993709802627563},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17335176467895508}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.9862667918205261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472322225570679},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.7407076954841614},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6669648885726929},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6299166679382324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.619192898273468},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5906023383140564},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5720747709274292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393602252006531},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.536666989326477},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4917965233325958},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.43771904706954956},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4375160336494446},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42571061849594116},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.26993709802627563},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17335176467895508},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.1998-225","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W13315615","https://openalex.org/W69308499","https://openalex.org/W70358411","https://openalex.org/W154262204","https://openalex.org/W185189022","https://openalex.org/W2050069490","https://openalex.org/W2172287020"],"related_works":["https://openalex.org/W2105076537","https://openalex.org/W1700330385","https://openalex.org/W2002221802","https://openalex.org/W2041167939","https://openalex.org/W2250909759","https://openalex.org/W2562995433","https://openalex.org/W2131111393","https://openalex.org/W2028371633","https://openalex.org/W2020757772","https://openalex.org/W2098508228"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"explore":[4],"the":[5,37,41,47,93],"use":[6],"of":[7,83,99],"lexical":[8,31,76],"information":[9,32,77],"for":[10,106],"language":[11,26],"identification":[12],"(LID).":[13],"Our":[14],"reference":[15,94],"LID":[16],"system":[17],"uses":[18],"language-dependent":[19],"acoustic":[20,63],"phone":[21,38,51],"models":[22,55],"and":[23,52,88,102,109],"phone-based":[24,95],"bigram":[25,54],"models.":[27],"For":[28],"each":[29],"language,":[30],"is":[33],"introduced":[34],"by":[35],"augmenting":[36],"vocabulary":[39],"with":[40,114],"N":[42],"most":[43],"frequent":[44],"words":[45],"in":[46],"training":[48],"data.":[49],"Combined":[50],"word":[53],"are":[56,104],"used":[57],"to":[58,92],"provide":[59],"linguistic":[60],"constraints":[61],"during":[62],"decoding.":[64],"Experiments":[65],"were":[66],"carried":[67],"out":[68],"on":[69,86],"a":[70,79],"4-language":[71],"telephone":[72],"speech":[73,90,111,116],"corpus.":[74],"Using":[75],"achieves":[78],"relative":[80],"error":[81],"reduction":[82],"about":[84],"20%":[85],"spontaneous":[87],"read":[89,108],"compared":[91],"system.":[96],"Identification":[97],"rates":[98],"92%,":[100],"96%":[101],"99%":[103],"achieved":[105],"spontaneous,":[107],"task-specific":[110],"segments":[112],"respectively,":[113],"prior":[115],"detection.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}