{"id":"https://openalex.org/W2099896673","doi":"https://doi.org/10.3115/v1/w14-1616","title":"Factored Markov Translation with Robust Modeling","display_name":"Factored Markov Translation with Robust Modeling","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2099896673","doi":"https://doi.org/10.3115/v1/w14-1616","mag":"2099896673"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1616","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1616","pdf_url":"https://aclanthology.org/W14-1616.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1616.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000232528","display_name":"Yang Feng","orcid":"https://orcid.org/0000-0002-1898-3784"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Feng","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078530959","display_name":"Trevor Cohn","orcid":"https://orcid.org/0000-0003-4363-1673"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Trevor Cohn","raw_affiliation_strings":["University of Melbourne, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079203711","display_name":"Xinkai Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinkai Du","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6916,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.880469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"159"},"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9921000003814697,"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":0.796126127243042},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7220460772514343},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6762368679046631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667070388793945},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6018120646476746},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5712254643440247},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4693784713745117},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4119330644607544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3535221815109253},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34758123755455017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10476678609848022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796126127243042},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7220460772514343},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6762368679046631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667070388793945},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6018120646476746},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5712254643440247},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4693784713745117},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4119330644607544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3535221815109253},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34758123755455017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10476678609848022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-1616","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1616","pdf_url":"https://aclanthology.org/W14-1616.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.2167","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.2167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-1616.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1616","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1616","pdf_url":"https://aclanthology.org/W14-1616.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2099896673.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1631260214","https://openalex.org/W1736600331","https://openalex.org/W1934041838","https://openalex.org/W2056250865","https://openalex.org/W2101105183","https://openalex.org/W2116792345","https://openalex.org/W2124807415","https://openalex.org/W2144600658","https://openalex.org/W2146574666","https://openalex.org/W2153204578","https://openalex.org/W2153653739","https://openalex.org/W2153999629","https://openalex.org/W2156985047","https://openalex.org/W2160382364","https://openalex.org/W2160993407","https://openalex.org/W2187953100","https://openalex.org/W2251098065","https://openalex.org/W2437005631","https://openalex.org/W2950186769"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2384400852","https://openalex.org/W3204898214","https://openalex.org/W2963259630","https://openalex.org/W4240926580","https://openalex.org/W2070920720","https://openalex.org/W2883671469","https://openalex.org/W2398549619","https://openalex.org/W1542743110","https://openalex.org/W2728761353"],"abstract_inverted_index":{"Phrase-based":[0],"translation":[1,6],"models":[2],"usually":[3],"memorize":[4],"local":[5],"literally":[7],"and":[8,46,64,87],"make":[9],"independent":[10],"assumption":[11],"between":[12,27,40],"phrases":[13,41],"which":[14],"makes":[15],"it":[16],"neither":[17],"generalize":[18],"well":[19],"on":[20],"unseen":[21],"data":[22],"nor":[23],"model":[24,38,45],"sentence-level":[25],"effects":[26],"phrases.":[28],"In":[29],"this":[30],"pa-per":[31],"we":[32],"present":[33],"a":[34,43,49,60],"new":[35],"method":[36,58],"to":[37,53,70],"correlations":[39],"as":[42],"Markov":[44],"meanwhile":[47],"employ":[48],"robust":[50],"smoothing":[51],"strategy":[52],"provide":[54],"better":[55],"gen-eralization.":[56],"This":[57],"defines":[59],"re-cursive":[61],"estimation":[62],"process":[63],"backs":[65],"off":[66],"in":[67],"parallel":[68],"paths":[69],"infer":[71],"richer":[72],"structures.":[73],"Our":[74],"evaluation":[75],"shows":[76],"an":[77],"1.1\u20133.2":[78],"%":[79],"BLEU":[80],"improvement":[81],"over":[82],"competitive":[83],"baselines":[84],"for":[85],"Chinese-English":[86],"Arabic-English":[88],"translation.":[89],"1":[90]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
