{"id":"https://openalex.org/W2335938761","doi":"https://doi.org/10.1109/ialp.2015.7451517","title":"A novel method to optimize training data for translation model adaptation","display_name":"A novel method to optimize training data for translation model adaptation","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2335938761","doi":"https://doi.org/10.1109/ialp.2015.7451517","mag":"2335938761"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2015.7451517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","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/A5100458789","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-1975-1272"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609882","display_name":"Yu Hong","orcid":"https://orcid.org/0000-0003-0606-3718"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hong","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101770071","display_name":"Le Liu","orcid":"https://orcid.org/0009-0009-3574-824X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101969911","display_name":"Jianmin Yao","orcid":"https://orcid.org/0000-0003-4747-293X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Yao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102065469","display_name":"Qiaoming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"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":"16","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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8657795190811157},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7765474915504456},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7086337208747864},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6554281711578369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489763855934143},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6425695419311523},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6252204775810242},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6139705181121826},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5212084054946899},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4796600639820099},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4482665956020355},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.43931037187576294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37374770641326904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8657795190811157},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7765474915504456},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7086337208747864},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6554281711578369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489763855934143},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6425695419311523},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6252204775810242},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6139705181121826},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5212084054946899},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4796600639820099},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4482665956020355},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43931037187576294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37374770641326904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2015.7451517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1848260265","https://openalex.org/W2097333193","https://openalex.org/W2101105183","https://openalex.org/W2113104171","https://openalex.org/W2115410424","https://openalex.org/W2117051955","https://openalex.org/W2132001515","https://openalex.org/W2136477195","https://openalex.org/W2137387514","https://openalex.org/W2146574666","https://openalex.org/W2152263452","https://openalex.org/W2156985047","https://openalex.org/W2158195707","https://openalex.org/W2399188371","https://openalex.org/W6674504384"],"related_works":["https://openalex.org/W2756978580","https://openalex.org/W2972060578","https://openalex.org/W4285877427","https://openalex.org/W783305165","https://openalex.org/W2531741693","https://openalex.org/W2028936140","https://openalex.org/W2043884319","https://openalex.org/W2891480213","https://openalex.org/W209733029","https://openalex.org/W2991483587"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,41],"explore":[4],"the":[5,9,17,21,73,77,101,107],"method":[6,45,56,78],"to":[7,19,46,66,84],"improve":[8,106],"cross-domain":[10],"adaptation":[11],"of":[12,117],"current":[13],"translation":[14,38,52,65,70,103,108],"models,":[15],"with":[16],"aim":[18],"solve":[20],"common":[22],"problem":[23],"that":[24,96],"ambiguous":[25],"linguistic":[26],"knowledge":[27],"in":[28],"different":[29],"domain":[30],"causes":[31],"a":[32,36,43,58,68,80],"difficult":[33],"training":[34,49,119],"for":[35,51],"robust":[37],"model.":[39],"Specially,":[40],"propose":[42],"novel":[44],"automatically":[47],"optimize":[48],"data":[50,120],"model":[53],"adaptation.":[54],"The":[55],"combines":[57],"test":[59],"sentence":[60,88],"and":[61],"its":[62],"best":[63],"candidate":[64],"generate":[67],"pseudo-parallel":[69],"pair.":[71],"Regarding":[72],"pairs":[74,89],"as":[75],"queries,":[76],"follows":[79],"twin-track":[81],"retrieval":[82],"approach":[83],"further":[85],"mine":[86],"parallel":[87],"from":[90],"large-scale":[91],"bilingual":[92,118],"resources.":[93],"Experiments":[94],"show":[95],"by":[97,110],"using":[98],"our":[99],"method,":[100],"optimized":[102],"models":[104],"significantly":[105],"performance":[109],"1.8":[111],"BLEU":[112],"points":[113],"when":[114],"only":[115],"7.7%":[116],"is":[121],"used.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
