{"id":"https://openalex.org/W2108984739","doi":"https://doi.org/10.3115/1118693.1118712","title":"Minimum Bayes-Risk word alignments of bilingual texts","display_name":"Minimum Bayes-Risk word alignments of bilingual texts","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2108984739","doi":"https://doi.org/10.3115/1118693.1118712","mag":"2108984739"},"language":"en","primary_location":{"id":"doi:10.3115/1118693.1118712","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118712","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118712","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118712","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101051347","display_name":"Shankar Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shankar Kumar","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD","Johns Hopkins University, baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070594684","display_name":"Bill Byrne","orcid":"https://orcid.org/0000-0003-1896-4492"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Byrne","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD","Johns Hopkins University, baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101051347"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":3.4104,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.92911476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"140","last_page":"147"},"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":0.9993000030517578,"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/T13629","display_name":"Text Readability and Simplification","score":0.9916999936103821,"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/parsing","display_name":"Parsing","score":0.7602988481521606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489606142044067},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6530478000640869},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6403743028640747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.608572244644165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5941084027290344},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5388256311416626},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5235849618911743},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5094223618507385},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41992273926734924},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4135717749595642},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.22937673330307007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20439958572387695},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16110113263130188},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07168442010879517}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7602988481521606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489606142044067},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6530478000640869},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6403743028640747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608572244644165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5941084027290344},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5388256311416626},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5235849618911743},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5094223618507385},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41992273926734924},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4135717749595642},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.22937673330307007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20439958572387695},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16110113263130188},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07168442010879517},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/1118693.1118712","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118712","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118712","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.1793","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.1793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.clsp.jhu.edu/people/skumar/pubs/emnlp02.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.78","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.78","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/W/W02/W02-1019.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:328080","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/328080/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.3115/1118693.1118712","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118712","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118712","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2108984739.pdf","grobid_xml":"https://content.openalex.org/works/W2108984739.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W136130055","https://openalex.org/W1526572905","https://openalex.org/W1773803948","https://openalex.org/W1967573895","https://openalex.org/W1973923101","https://openalex.org/W1979102019","https://openalex.org/W1993666847","https://openalex.org/W2001810881","https://openalex.org/W2006969979","https://openalex.org/W2087382212","https://openalex.org/W2092654472","https://openalex.org/W2130640821","https://openalex.org/W2137854946","https://openalex.org/W2166810516","https://openalex.org/W4253646471"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W579810227","https://openalex.org/W2142145894","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2394466068","https://openalex.org/W3151736118","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W2417174640"],"abstract_inverted_index":{"We":[0,29],"present":[1],"Minimum":[2],"Bayes-Risk":[3],"word":[4],"alignment":[5,20,27],"for":[6],"machine":[7],"translation.":[8],"This":[9],"statistical,":[10],"model-based":[11],"approach":[12],"attempts":[13],"to":[14],"minimize":[15],"the":[16,56],"expected":[17],"risk":[18],"of":[19,55],"errors":[21],"under":[22],"loss":[23,32],"functions":[24],"that":[25,36,49],"measure":[26],"quality.":[28],"describe":[30],"various":[31],"functions,":[33],"including":[34],"some":[35],"incorporate":[37],"linguistic":[38],"analysis":[39],"as":[40],"can":[41,52],"be":[42],"obtained":[43],"from":[44],"parse":[45],"trees,":[46],"and":[47],"show":[48],"these":[50],"approaches":[51],"improve":[53],"alignments":[54],"English-French":[57],"Hansards.":[58]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}