{"id":"https://openalex.org/W2124445791","doi":"https://doi.org/10.1109/icassp.2004.1326094","title":"Corrective language modeling for large vocabulary ASR with the perceptron algorithm","display_name":"Corrective language modeling for large vocabulary ASR with the perceptron algorithm","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2124445791","doi":"https://doi.org/10.1109/icassp.2004.1326094","mag":"2124445791"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5020068498","display_name":"Brian Roark","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Roark","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Saraclar","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074839699","display_name":"Michael J. Collins","orcid":"https://orcid.org/0000-0001-5226-5498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Collins","raw_affiliation_strings":["MIT Artificial Intelligence Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020068498"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":8.7804,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.97609356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"749"},"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":0.9991000294685364,"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":0.9936000108718872,"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":0.8017255067825317},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7213555574417114},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6988519430160522},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.656146764755249},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5963252186775208},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.5852562785148621},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5825084447860718},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5783928036689758},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5313297510147095},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.495691180229187},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4557594060897827},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4444595277309418},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4398627281188965},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4205961227416992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41730836033821106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2612689137458801},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08935058116912842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017255067825317},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7213555574417114},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6988519430160522},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.656146764755249},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5963252186775208},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.5852562785148621},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5825084447860718},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5783928036689758},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5313297510147095},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.495691180229187},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4557594060897827},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4444595277309418},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4398627281188965},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4205961227416992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41730836033821106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2612689137458801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08935058116912842},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2004.1326094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.8289","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.8289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/people/mcollins/papers/icassp94.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1491745322","https://openalex.org/W1937775400","https://openalex.org/W1979711143","https://openalex.org/W1993666847","https://openalex.org/W2008652694","https://openalex.org/W2087382212","https://openalex.org/W2097978681","https://openalex.org/W2128967750","https://openalex.org/W2129072127","https://openalex.org/W2132714218","https://openalex.org/W2594610113","https://openalex.org/W2985891738","https://openalex.org/W4249572517","https://openalex.org/W6674334065"],"related_works":["https://openalex.org/W4242459863","https://openalex.org/W127357700","https://openalex.org/W2724597727","https://openalex.org/W1480528870","https://openalex.org/W2508541108","https://openalex.org/W4243191745","https://openalex.org/W2315419748","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"error-corrective":[3],"language":[4],"modeling":[5],"using":[6,54,65],"the":[7,28,50,71,75],"perceptron":[8],"algorithm":[9],"on":[10],"word":[11,31,67],"lattices.":[12,68],"The":[13,85],"resulting":[14],"model":[15,29],"is":[16,24],"encoded":[17],"as":[18,78,80],"a":[19,89],"weighted":[20],"finite-state":[21],"automaton,":[22],"and":[23,36,60],"used":[25],"by":[26],"intersecting":[27],"with":[30],"lattices,":[32],"making":[33,74],"it":[34],"simple":[35],"inexpensive":[37],"to":[38,82,99],"apply":[39],"during":[40],"decoding.":[41],"We":[42,69],"present":[43],"results":[44],"for":[45,49],"various":[46],"training":[47,76],"scenarios":[48],"Switchboard":[51],"task,":[52],"including":[53],"n-gram":[55],"features":[56],"of":[57,73],"different":[58],"orders,":[59],"performing":[61],"n-best":[62],"extraction":[63],"versus":[64],"full":[66],"demonstrate":[70],"importance":[72],"conditions":[77],"close":[79],"possible":[81],"testing":[83],"conditions.":[84],"best":[86],"approach":[87],"yields":[88],"1.3":[90],"percent":[91,101],"improvement":[92,102],"in":[93],"first":[94],"pass":[95],"accuracy,":[96],"which":[97],"translates":[98],"0.5":[100],"after":[103],"other":[104],"rescoring":[105],"passes.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
