{"id":"https://openalex.org/W2251553982","doi":"https://doi.org/10.3115/v1/p14-1081","title":"Adaptive HTER Estimation for Document-Specific MT Post-Editing","display_name":"Adaptive HTER Estimation for Document-Specific MT Post-Editing","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251553982","doi":"https://doi.org/10.3115/v1/p14-1081","mag":"2251553982"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-1081","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1081","pdf_url":"https://doi.org/10.3115/v1/p14-1081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/p14-1081","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101488344","display_name":"Fei Huang","orcid":"https://orcid.org/0000-0002-3709-5053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678958","display_name":"Jianming Xu","orcid":"https://orcid.org/0000-0002-4915-8891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian-Ming Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112897636","display_name":"Abraham Ittycheriah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abraham Ittycheriah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043396055","display_name":"Salim Roukos","orcid":"https://orcid.org/0000-0003-2140-4349"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salim Roukos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8458,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.826968,"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":"861","last_page":"870"},"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":0.9995999932289124,"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/T13629","display_name":"Text Readability and Simplification","score":0.9864000082015991,"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":0.7745858430862427},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6301160454750061},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6277530789375305},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5632590055465698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561524033546448},{"id":"https://openalex.org/keywords/evaluation-of-machine-translation","display_name":"Evaluation of machine translation","score":0.49892401695251465},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4892990291118622},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4495927691459656},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4201032519340515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745858430862427},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6301160454750061},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6277530789375305},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5632590055465698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561524033546448},{"id":"https://openalex.org/C135784402","wikidata":"https://www.wikidata.org/wiki/Q6958279","display_name":"Evaluation of machine translation","level":5,"score":0.49892401695251465},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4892990291118622},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4495927691459656},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4201032519340515},{"id":"https://openalex.org/C148526163","wikidata":"https://www.wikidata.org/wiki/Q6723733","display_name":"Machine translation software usability","level":4,"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/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/p14-1081","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1081","pdf_url":"https://doi.org/10.3115/v1/p14-1081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.654.8527","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.8527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/P/P14/P14-1081.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-1081","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1081","pdf_url":"https://doi.org/10.3115/v1/p14-1081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W105964407","https://openalex.org/W1707559977","https://openalex.org/W1751545911","https://openalex.org/W1848260265","https://openalex.org/W1975133852","https://openalex.org/W1986345088","https://openalex.org/W2038698865","https://openalex.org/W2057765767","https://openalex.org/W2087735403","https://openalex.org/W2103288873","https://openalex.org/W2115410424","https://openalex.org/W2126704587","https://openalex.org/W2126946601","https://openalex.org/W2136477195","https://openalex.org/W2144746247","https://openalex.org/W2149150290","https://openalex.org/W2149327368","https://openalex.org/W2167679664","https://openalex.org/W2180952760","https://openalex.org/W2270190199","https://openalex.org/W2276605909","https://openalex.org/W2952442006","https://openalex.org/W3202942953"],"related_works":["https://openalex.org/W3151736118","https://openalex.org/W3097971125","https://openalex.org/W2962780935","https://openalex.org/W4387490002","https://openalex.org/W2026303297","https://openalex.org/W2532807140","https://openalex.org/W3196981096","https://openalex.org/W2395826315","https://openalex.org/W2169279899","https://openalex.org/W2883671469"],"abstract_inverted_index":{"We":[0,23,43],"present":[1],"an":[2],"adaptive":[3],"translation":[4,13,21,31],"qual-ity":[5],"estimation":[6],"(QE)":[7],"method":[8,96],"to":[9,29,72,99],"predict":[10],"the":[11,30,39,45,61,65,83,94],"human-targeted":[12],"error":[14],"rate":[15],"(HTER)":[16],"for":[17,64],"a":[18,116],"document-specific":[19,66],"machine":[20],"model.":[22],"first":[24],"introduce":[25],"fea-tures":[26],"derived":[27],"internal":[28],"de-coding":[32],"process":[33],"as":[34,36],"well":[35],"externally":[37],"from":[38],"source":[40],"sentence":[41],"analysis.":[42],"show":[44],"effectiveness":[46],"of":[47,55],"such":[48],"features":[49],"in":[50,89,120],"both":[51],"classification":[52],"and":[53,75,87,107],"regression":[54],"MT":[56,67,102],"qual-ity.":[57],"By":[58],"dynamically":[59],"training":[60],"QE":[62],"model":[63],"model,":[68],"we":[69,108],"are":[70],"able":[71],"achieve":[73],"consistency":[74],"pre-diction":[76],"quality":[77],"across":[78],"multiple":[79],"documents,":[80],"demonstrated":[81],"by":[82],"higher":[84],"correlation":[85,111],"co-efficient":[86],"F-scores":[88],"finding":[90],"Good":[91],"sen-tences.":[92],"Additionally,":[93],"proposed":[95],"is":[97],"applied":[98],"IBM":[100],"English-to-Japanese":[101],"post":[103],"editing":[104],"field":[105],"study":[106],"observe":[109],"strong":[110],"with":[112,115],"human":[113,121],"preference,":[114],"10":[117],"%":[118],"increase":[119],"translators\u2019":[122],"productivity.":[123],"1":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
