{"id":"https://openalex.org/W2131296021","doi":"https://doi.org/10.3115/v1/p14-2047","title":"Assessing the Discourse Factors that Influence the Quality of Machine Translation","display_name":"Assessing the Discourse Factors that Influence the Quality of Machine Translation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2131296021","doi":"https://doi.org/10.3115/v1/p14-2047","mag":"2131296021"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-2047","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2047","pdf_url":"https://aclanthology.org/P14-2047.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-2047.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021057186","display_name":"Junyi Jessy Li","orcid":"https://orcid.org/0000-0002-2550-5262"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junyi Jessy Li","raw_affiliation_strings":["#N#               * University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078390032","display_name":"Marine Carpuat","orcid":"https://orcid.org/0000-0003-1693-0782"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marine Carpuat","raw_affiliation_strings":["National Academies of Sciences, Engineering, and Medicine, Washington, United States"],"affiliations":[{"raw_affiliation_string":"National Academies of Sciences, Engineering, and Medicine, Washington, United States","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032571629","display_name":"Ani Nenkova","orcid":"https://orcid.org/0000-0002-5825-7875"},"institutions":[{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ani Nenkova","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, United States"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, United States","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021057186"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3428,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.96566603,"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":"283","last_page":"288"},"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":0.9994000196456909,"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":0.9983999729156494,"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":0.6402787566184998},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.618392288684845},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6180557608604431},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.48112526535987854},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3815561830997467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32174548506736755},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.20985767245292664},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08111777901649475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402787566184998},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.618392288684845},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6180557608604431},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.48112526535987854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3815561830997467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32174548506736755},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.20985767245292664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08111777901649475},{"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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/p14-2047","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2047","pdf_url":"https://aclanthology.org/P14-2047.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:21276126","is_oa":true,"landing_page_url":"https://nrc-publications.canada.ca/fra/voir/objet/?id=9acb3f2a-4cd2-47f7-b3ca-a73aa0efa9df","pdf_url":"https://nrc-publications.canada.ca/eng/view/accepted/?id=9acb3f2a-4cd2-47f7-b3ca-a73aa0efa9df","source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":null,"raw_type":"article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.675.2687","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.2687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/%7Eljunyi/papers/discourse_mt.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-2047","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2047","pdf_url":"https://aclanthology.org/P14-2047.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2131296021.pdf","grobid_xml":"https://content.openalex.org/works/W2131296021.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W91670896","https://openalex.org/W835791623","https://openalex.org/W1551202288","https://openalex.org/W1563792215","https://openalex.org/W1632114991","https://openalex.org/W2009856297","https://openalex.org/W2042262613","https://openalex.org/W2075179010","https://openalex.org/W2081266320","https://openalex.org/W2095751497","https://openalex.org/W2119954850","https://openalex.org/W2135161317","https://openalex.org/W2136094405","https://openalex.org/W2136925175","https://openalex.org/W2139183784","https://openalex.org/W2149327368","https://openalex.org/W2162245945","https://openalex.org/W2166957049","https://openalex.org/W2167072947","https://openalex.org/W2170496269","https://openalex.org/W2786305482"],"related_works":["https://openalex.org/W2775554247","https://openalex.org/W2728761353","https://openalex.org/W2883671469","https://openalex.org/W2250395065","https://openalex.org/W2924423142","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362"],"abstract_inverted_index":{"We":[0,44],"present":[1],"a":[2,17,49,59],"study":[3],"of":[4,6,24,34,36,56,100],"aspects":[5],"discourse":[7,10,90,102,112],"structure":[8],"-specifically":[9],"devices":[11],"used":[12],"to":[13,42,79,86],"organize":[14],"information":[15],"in":[16,53,61,74,104],"sentence":[18,60],"-that":[19],"significantly":[20,116],"impact":[21,117],"the":[22,54,84,98,105,109],"quality":[23,82],"machine":[25],"translation.":[26,107],"Our":[27],"analysis":[28],"is":[29,48,69,83],"based":[30],"on":[31],"manual":[32],"evaluations":[33],"translations":[35],"news":[37],"from":[38],"Chinese":[39,62],"and":[40,63,68],"Arabic":[41],"English.":[43],"find":[45],"that":[46],"there":[47],"particularly":[50],"strong":[51],"mismatch":[52],"notion":[55],"what":[57],"constitutes":[58],"English,":[64],"which":[65],"occurs":[66],"often":[67],"associated":[70],"with":[71],"significant":[72],"degradation":[73],"translation":[75,81,118],"quality.":[76,119],"Also":[77],"related":[78],"lower":[80],"need":[85],"employ":[87],"multiple":[88],"explicit":[89],"connectives":[91,103],"(because,":[92],"but,":[93],"etc.),":[94],"as":[95,97],"well":[96],"presence":[99],"ambiguous":[101],"English":[106],"Furthermore,":[108],"mismatches":[110],"between":[111],"expressions":[113],"across":[114],"languages":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
