{"id":"https://openalex.org/W2166391150","doi":"https://doi.org/10.1109/isspa.2007.4555313","title":"Robust parsing for word lattices in Continuous Speech Recognition systems","display_name":"Robust parsing for word lattices in Continuous Speech Recognition systems","publication_year":2007,"publication_date":"2007-02-01","ids":{"openalex":"https://openalex.org/W2166391150","doi":"https://doi.org/10.1109/isspa.2007.4555313","mag":"2166391150"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2007.4555313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","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/A5015201403","display_name":"Saeedeh Momtazi","orcid":"https://orcid.org/0000-0002-8110-1342"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Momtazi","raw_affiliation_strings":["Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024773257","display_name":"Hossein Sameti","orcid":"https://orcid.org/0000-0002-8087-8889"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H. Sameti","raw_affiliation_strings":["Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053471950","display_name":"Maryam Fazel-Zarandi","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Fazel-Zarandi","raw_affiliation_strings":["Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017474830","display_name":"Mohammad Bahrani","orcid":"https://orcid.org/0000-0003-1645-1562"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Bahrani","raw_affiliation_strings":["Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.8545153141021729},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7649650573730469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6708630919456482},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6668159365653992},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6491948962211609},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6448705196380615},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.48503178358078003},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4839335083961487},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.47798818349838257},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4681299924850464},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4587637782096863},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.4527060389518738},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.44127678871154785},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.41501206159591675},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08270284533500671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545153141021729},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7649650573730469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6708630919456482},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6668159365653992},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6491948962211609},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6448705196380615},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.48503178358078003},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4839335083961487},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.47798818349838257},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4681299924850464},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4587637782096863},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.4527060389518738},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.44127678871154785},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.41501206159591675},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08270284533500671},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isspa.2007.4555313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.388.1366","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.388.1366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lsv.uni-saarland.de/personalPages/smomtazi/papers/SaeedehMomtazi-ISSPA07-RobustParsing.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W49721523","https://openalex.org/W1549026077","https://openalex.org/W1600722501","https://openalex.org/W2092369920","https://openalex.org/W2098009818","https://openalex.org/W2116502454","https://openalex.org/W2131528687","https://openalex.org/W3141745772","https://openalex.org/W6602031645"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W4291149798","https://openalex.org/W3088470625","https://openalex.org/W3035970863","https://openalex.org/W2281562628","https://openalex.org/W2250574586","https://openalex.org/W2058621701","https://openalex.org/W4320024782","https://openalex.org/W2113982204","https://openalex.org/W2389755172"],"abstract_inverted_index":{"One":[0],"of":[1,4,53,72],"the":[2,20,31,51,70],"roles":[3],"a":[5,36,47,65,78],"natural":[6],"language":[7,42],"processing":[8],"(NLP)":[9],"model":[10],"in":[11,87,92],"continuous":[12,80],"speech":[13,81],"recognition":[14,43,82,93],"(CSR)":[15],"systems":[16],"is":[17],"to":[18,30],"find":[19],"best":[21],"sentence":[22],"hypothesis":[23],"by":[24,63,102],"ranking":[25],"all":[26],"n-best":[27],"sentences":[28],"according":[29],"grammar.":[32],"This":[33,55],"paper":[34],"describes":[35],"robust":[37],"parsing":[38,67],"algorithm":[39],"for":[40],"spoken":[41],"(SLR)":[44],"which":[45],"utilizes":[46],"technique":[48,56],"that":[49],"improves":[50,69],"efficiency":[52],"parsing.":[54],"integrates":[57],"grammatical":[58],"and":[59,62],"statistical":[60],"approaches,":[61],"using":[64,77],"best-first":[66],"strategy":[68],"accuracy":[71,88],"recognition.":[73],"Preliminary":[74],"experimental":[75],"results":[76],"Persian":[79],"system":[83],"show":[84],"effective":[85],"improvements":[86],"with":[89],"little":[90],"change":[91],"time.":[94],"The":[95],"word":[96],"error":[97],"rate":[98],"was":[99],"also":[100],"reduced":[101],"18%.":[103]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}