{"id":"https://openalex.org/W2756773371","doi":"https://doi.org/10.18653/v1/w17-4803","title":"Using a Graph-based Coherence Model in Document-Level Machine Translation","display_name":"Using a Graph-based Coherence Model in Document-Level Machine Translation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756773371","doi":"https://doi.org/10.18653/v1/w17-4803","mag":"2756773371"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4803","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4803","pdf_url":"https://www.aclweb.org/anthology/W17-4803.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 Third Workshop on Discourse in Machine Translation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4803.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017632073","display_name":"Leo Born","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Leo Born","raw_affiliation_strings":["Department of Computational Linguistics, Heidelberg University Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Linguistics, Heidelberg University Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042169309","display_name":"Mohsen Mesgar","orcid":null},"institutions":[{"id":"https://openalex.org/I71030271","display_name":"Heidelberg Institute for Theoretical Studies","ror":"https://ror.org/01f7bcy98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I71030271"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohsen Mesgar","raw_affiliation_strings":["Heidelberg Institute for Theoretical Studies gGmbH Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Theoretical Studies gGmbH Heidelberg, Germany","institution_ids":["https://openalex.org/I71030271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020347604","display_name":"Michael Strube","orcid":"https://orcid.org/0000-0002-4731-8142"},"institutions":[{"id":"https://openalex.org/I71030271","display_name":"Heidelberg Institute for Theoretical Studies","ror":"https://ror.org/01f7bcy98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I71030271"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Strube","raw_affiliation_strings":["Heidelberg Institute for Theoretical Studies gGmbH Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Theoretical Studies gGmbH Heidelberg, Germany","institution_ids":["https://openalex.org/I71030271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017632073"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.9969,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82784153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"35"},"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/T10260","display_name":"Software Engineering Research","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.7981775403022766},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7545500993728638},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6508691310882568},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6257168650627136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6182626485824585},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4931644797325134},{"id":"https://openalex.org/keywords/evaluation-of-machine-translation","display_name":"Evaluation of machine translation","score":0.4265632629394531},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.42355093359947205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4118882417678833},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.328666627407074},{"id":"https://openalex.org/keywords/machine-translation-software-usability","display_name":"Machine translation software usability","score":0.26232773065567017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26101720333099365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09359246492385864},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07326462864875793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981775403022766},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7545500993728638},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6508691310882568},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6257168650627136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6182626485824585},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4931644797325134},{"id":"https://openalex.org/C135784402","wikidata":"https://www.wikidata.org/wiki/Q6958279","display_name":"Evaluation of machine translation","level":5,"score":0.4265632629394531},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.42355093359947205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4118882417678833},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.328666627407074},{"id":"https://openalex.org/C148526163","wikidata":"https://www.wikidata.org/wiki/Q6723733","display_name":"Machine translation software usability","level":4,"score":0.26232773065567017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26101720333099365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09359246492385864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07326462864875793},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-4803","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4803","pdf_url":"https://www.aclweb.org/anthology/W17-4803.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 Third Workshop on Discourse in Machine Translation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4803","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4803","pdf_url":"https://www.aclweb.org/anthology/W17-4803.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 Third Workshop on Discourse in Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324316","display_name":"Klaus Tschira Stiftung","ror":"https://ror.org/052jep661"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756773371.pdf","grobid_xml":"https://content.openalex.org/works/W2756773371.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W44695385","https://openalex.org/W203948990","https://openalex.org/W1553168961","https://openalex.org/W1557757161","https://openalex.org/W1588719663","https://openalex.org/W1738081185","https://openalex.org/W1970259423","https://openalex.org/W2004734764","https://openalex.org/W2017393964","https://openalex.org/W2030987872","https://openalex.org/W2045991522","https://openalex.org/W2074466695","https://openalex.org/W2077779631","https://openalex.org/W2080373976","https://openalex.org/W2123301721","https://openalex.org/W2124741472","https://openalex.org/W2124807415","https://openalex.org/W2126555270","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2134800885","https://openalex.org/W2140676672","https://openalex.org/W2141236834","https://openalex.org/W2141895568","https://openalex.org/W2146574666","https://openalex.org/W2152052831","https://openalex.org/W2153653739","https://openalex.org/W2162429782","https://openalex.org/W2164628107","https://openalex.org/W2250539671","https://openalex.org/W2250771647","https://openalex.org/W2251849926","https://openalex.org/W2257408573","https://openalex.org/W2398973842","https://openalex.org/W2471407348","https://openalex.org/W2561657168","https://openalex.org/W2594229957","https://openalex.org/W2595715041","https://openalex.org/W2785718781","https://openalex.org/W2964308564","https://openalex.org/W4229804659","https://openalex.org/W4230225957","https://openalex.org/W4241645538","https://openalex.org/W4300747378"],"related_works":["https://openalex.org/W3204448004","https://openalex.org/W2962780935","https://openalex.org/W2122287718","https://openalex.org/W2532807140","https://openalex.org/W193726211","https://openalex.org/W2740094425","https://openalex.org/W3196981096","https://openalex.org/W4378619223","https://openalex.org/W2587602790","https://openalex.org/W3151736118"],"abstract_inverted_index":{"Although":[0],"coherence":[1,53,62,76,96],"is":[2,65],"an":[3],"important":[4],"aspect":[5],"of":[6,19,30,59,70,84,90,102,106],"any":[7],"text":[8],"generation":[9],"system,":[10],"it":[11],"has":[12],"received":[13],"little":[14],"attention":[15],"in":[16,67,104],"the":[17,28,42,51,68,75,82,85,100,107],"context":[18,69],"machine":[20,71,86],"translation":[21,32,103],"(MT)":[22],"so":[23],"far.":[24],"We":[25,49,73],"hypothesize":[26],"that":[27,94],"quality":[29,83,101],"document-level":[31],"can":[33],"be":[34],"improved":[35],"if":[36],"MT":[37],"models":[38],"take":[39],"into":[40],"account":[41],"semantic":[43],"relations":[44],"among":[45],"sentences":[46],"during":[47],"translation.":[48,72,87],"integrate":[50],"graph-based":[52,61],"model":[54,77,97],"proposed":[55],"by":[56],"The":[57,88],"application":[58],"this":[60],"modeling":[63],"approach":[64],"novel":[66],"evaluate":[74],"and":[78],"its":[79],"effects":[80],"on":[81],"result":[89],"our":[91,95],"experiments":[92],"shows":[93],"slightly":[98],"improves":[99],"terms":[105],"average":[108],"Meteor":[109],"score.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
