{"id":"https://openalex.org/W2129841142","doi":"https://doi.org/10.1109/asru.2009.5372892","title":"Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing","display_name":"Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2129841142","doi":"https://doi.org/10.1109/asru.2009.5372892","mag":"2129841142"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5372892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5372892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","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/A5107249743","display_name":"Bing Xiang","orcid":"https://orcid.org/0009-0006-4028-4935"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bing Xiang","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107808331","display_name":"Bowen Zhou","orcid":"https://orcid.org/0009-0004-3414-6267"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bowen Zhou","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054616758","display_name":"Martin \u010cmejrek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Cmejrek","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107249743"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12781647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"518"},"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":0.9994999766349792,"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/T12031","display_name":"Speech and dialogue systems","score":0.9860000014305115,"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":0.8893567323684692},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.8374064564704895},{"id":"https://openalex.org/keywords/synchronous-context-free-grammar","display_name":"Synchronous context-free grammar","score":0.741489589214325},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.674992024898529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6426112055778503},{"id":"https://openalex.org/keywords/transfer-based-machine-translation","display_name":"Transfer-based machine translation","score":0.6166513562202454},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.5904664993286133},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.5601910948753357},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.5170824527740479},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5097829699516296},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4684963822364807},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.4673759341239929},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4452225863933563},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.438686341047287},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4205421805381775},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3900521695613861},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.3415374755859375},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2509573996067047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8893567323684692},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8374064564704895},{"id":"https://openalex.org/C51802942","wikidata":"https://www.wikidata.org/wiki/Q7662211","display_name":"Synchronous context-free grammar","level":4,"score":0.741489589214325},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.674992024898529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6426112055778503},{"id":"https://openalex.org/C130597682","wikidata":"https://www.wikidata.org/wiki/Q6961922","display_name":"Transfer-based machine translation","level":4,"score":0.6166513562202454},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.5904664993286133},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.5601910948753357},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.5170824527740479},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5097829699516296},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4684963822364807},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.4673759341239929},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4452225863933563},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.438686341047287},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4205421805381775},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3900521695613861},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3415374755859375},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2509573996067047},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2009.5372892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5372892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W1551202288","https://openalex.org/W1810157568","https://openalex.org/W1934041838","https://openalex.org/W1973923101","https://openalex.org/W2006969979","https://openalex.org/W2038698865","https://openalex.org/W2049633694","https://openalex.org/W2101105183","https://openalex.org/W2101656755","https://openalex.org/W2106477919","https://openalex.org/W2112900913","https://openalex.org/W2116316001","https://openalex.org/W2119168550","https://openalex.org/W2119314391","https://openalex.org/W2124807415","https://openalex.org/W2125799830","https://openalex.org/W2133229022","https://openalex.org/W2137227862","https://openalex.org/W2146574666","https://openalex.org/W2153653739","https://openalex.org/W2156985047","https://openalex.org/W2157224593","https://openalex.org/W2162245945","https://openalex.org/W2165109801","https://openalex.org/W2437005631","https://openalex.org/W2963847008","https://openalex.org/W3129711340","https://openalex.org/W6600880057","https://openalex.org/W6632758035","https://openalex.org/W6638521111","https://openalex.org/W6652311901","https://openalex.org/W6676989195","https://openalex.org/W6677960720","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2566847733","https://openalex.org/W2010336863","https://openalex.org/W1559710535","https://openalex.org/W3036784334","https://openalex.org/W4312364893","https://openalex.org/W3204448004","https://openalex.org/W193726211","https://openalex.org/W4321010057","https://openalex.org/W2166769824","https://openalex.org/W3169172723"],"abstract_inverted_index":{"In":[0,57],"current":[1],"statistical":[2],"machine":[3,20,33],"translation,":[4],"IBM":[5],"model":[6,26,69,73],"based":[7,83],"word":[8,109],"alignment":[9,25,49,110,148],"is":[10,27,42,93,111],"widely":[11],"used":[12],"as":[13],"a":[14,62,67,71,104,126,136,156],"starting":[15],"point":[16],"to":[17,54,65,155],"build":[18],"phrase-based":[19],"translation":[21,34,72,128,138],"systems.":[22],"However,":[23],"such":[24],"separated":[28],"from":[29,117],"the":[30,48,114,118,146],"rest":[31],"of":[32],"pipeline":[35],"and":[36,134],"optimized":[37],"independently.":[38],"Furthermore,":[39],"structural":[40,115],"information":[41],"not":[43],"taken":[44],"into":[45],"account":[46],"in":[47,74,103,125,130,140],"model,":[50],"which":[51],"sometimes":[52],"leads":[53],"incorrect":[55],"alignments.":[56],"this":[58],"paper,":[59],"we":[60],"present":[61],"novel":[63],"method":[64],"connect":[66],"re-alignment":[68],"with":[70,99],"an":[75],"integrated":[76],"framework.":[77],"We":[78],"conduct":[79],"bilingual":[80],"chart":[81],"parsing":[82],"on":[84,145],"syntax-augmented":[85],"synchronous":[86],"context-free":[87],"grammar.":[88],"A":[89,107],"Viterbi":[90,119],"derivation":[91],"tree":[92],"generated":[94],"for":[95],"each":[96],"sentence":[97],"pair":[98],"multiple":[100],"features":[101],"employed":[102],"log-linear":[105],"model.":[106],"new":[108,147],"created":[112],"under":[113],"constraint":[116],"tree.":[120],"Extensive":[121],"experiments":[122],"are":[123],"conducted":[124],"Farsi-to-English":[127],"task":[129,139],"conversational":[131],"speech":[132],"domain":[133],"also":[135],"German-to-English":[137],"text":[141],"domain.":[142],"Systems":[143],"trained":[144],"provide":[149],"significant":[150],"higher":[151],"BLEU":[152],"scores":[153],"compared":[154],"state-of-the-art":[157],"baseline.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}