{"id":"https://openalex.org/W2250958040","doi":"https://doi.org/10.3115/v1/w14-3358","title":"Dynamic Topic Adaptation for SMT using Distributional Profiles","display_name":"Dynamic Topic Adaptation for SMT using Distributional Profiles","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250958040","doi":"https://doi.org/10.3115/v1/w14-3358","mag":"2250958040"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-3358","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3358","pdf_url":"https://aclanthology.org/W14-3358.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 Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-3358.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069654424","display_name":"Eva Hasler","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Eva Hasler","raw_affiliation_strings":["School of Informatics, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110781707","display_name":"Barry Haddow","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Barry Haddow","raw_affiliation_strings":["School of Informatics, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112315093","display_name":"Philipp Koehn","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"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":["GB","US"],"is_corresponding":false,"raw_author_name":"Philipp Koehn","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University","School of Informatics, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"School of Informatics, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069654424"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":6.3426,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96601038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/adaptation","display_name":"Adaptation (eye)","score":0.7220405340194702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159696817398071}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7220405340194702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159696817398071},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/w14-3358","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3358","pdf_url":"https://aclanthology.org/W14-3358.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 Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.676.2297","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.2297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-3358.pdf","raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:ec_fundedresources/beacd738-b787-4ad0-953e-d5ddcd17269a","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/beacd738-b787-4ad0-953e-d5ddcd17269a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:openaire/beacd738-b787-4ad0-953e-d5ddcd17269a","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/beacd738-b787-4ad0-953e-d5ddcd17269a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hasler, E, Haddow, B & Koehn, P 2014, Dynamic Topic Adaptation for SMT using Distributional Profiles. in Proceedings of the Ninth Workshop on Statistical Machine Translation. Baltimore, Maryland, USA, pp. 445-456, Ninth Workshop on Statistical Machine Translation, Baltimore, Maryland, United States, 26/06/14. https://doi.org/10.3115/v1/W14-3358","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-3358","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3358","pdf_url":"https://aclanthology.org/W14-3358.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 Ninth Workshop on Statistical Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2333883874","display_name":"Automated Community Content Editing PorTal","funder_award_id":"288769","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3911098002","display_name":"Bridges Across the Language Divide","funder_award_id":"287658","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3981126665","display_name":null,"funder_award_id":"Seventh Framework Programme","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250958040.pdf","grobid_xml":"https://content.openalex.org/works/W2250958040.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W867563","https://openalex.org/W60571609","https://openalex.org/W154847150","https://openalex.org/W222053410","https://openalex.org/W2004447574","https://openalex.org/W2067815623","https://openalex.org/W2094951132","https://openalex.org/W2109450467","https://openalex.org/W2114580886","https://openalex.org/W2115056464","https://openalex.org/W2115081467","https://openalex.org/W2116229791","https://openalex.org/W2117045850","https://openalex.org/W2136925175","https://openalex.org/W2137698233","https://openalex.org/W2139183784","https://openalex.org/W2159882563","https://openalex.org/W2160131015","https://openalex.org/W2164019165","https://openalex.org/W2180952760","https://openalex.org/W2184135559","https://openalex.org/W2250861721","https://openalex.org/W2258247613","https://openalex.org/W2270190199","https://openalex.org/W2293596968","https://openalex.org/W2408655637","https://openalex.org/W2882319491"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Despite":[0],"its":[1],"potential":[2],"to":[3,48,54,76,87],"improve":[4,77],"lexical":[5,78],"selection,":[6],"most":[7],"state-of-the-art":[8],"machine":[9],"translation":[10,36,44,51],"systems":[11],"take":[12],"only":[13],"minimal":[14],"contextual":[15],"information":[16,67],"into":[17],"account.":[18],"We":[19,63,90],"capture":[20],"context":[21,32,58],"with":[22,112],"a":[23,55,82,96],"topic":[24],"model":[25,52,94],"over":[26],"distributional":[27],"profiles":[28],"built":[29],"from":[30,68,102],"the":[31,50],"words":[33],"of":[34],"each":[35,43],"unit.":[37],"Topic":[38],"distributions":[39],"are":[40],"inferred":[41],"for":[42],"unit":[45],"and":[46,71,80,106],"used":[47],"adapt":[49],"dynamically":[53],"given":[56],"test":[57,73,91],"by":[59,85],"measuring":[60],"their":[61],"similarity.":[62],"show":[64],"that":[65],"combining":[66],"both":[69],"local":[70],"global":[72],"contexts":[74],"helps":[75],"selection":[79],"outperforms":[81],"baseline":[83],"system":[84],"up":[86],"1.15":[88],"BLEU.":[89],"our":[92],"topic-adapted":[93],"on":[95],"diverse":[97],"data":[98],"set":[99],"containing":[100],"documents":[101],"three":[103],"different":[104],"domains":[105],"achieve":[107],"competitive":[108],"performance":[109],"in":[110],"comparison":[111],"two":[113],"supervised":[114],"domain-adapted":[115],"systems.":[116]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}