{"id":"https://openalex.org/W2742148828","doi":"https://doi.org/10.18653/v1/w17-3206","title":"Detecting Untranslated Content for Neural Machine Translation","display_name":"Detecting Untranslated Content for Neural Machine Translation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2742148828","doi":"https://doi.org/10.18653/v1/w17-3206","mag":"2742148828"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-3206","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-3206","pdf_url":"https://www.aclweb.org/anthology/W17-3206.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 First Workshop on Neural 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/W17-3206.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025270956","display_name":"Isao Goto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Isao Goto","raw_affiliation_strings":["NHK Science & Technology Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan"],"affiliations":[{"raw_affiliation_string":"NHK Science & Technology Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031493092","display_name":"Hideki Tanaka","orcid":"https://orcid.org/0000-0003-2099-8990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hideki Tanaka","raw_affiliation_strings":["NHK Science & Technology Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan"],"affiliations":[{"raw_affiliation_string":"NHK Science & Technology Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025270956"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5602,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87320791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"55"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7213072776794434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6889200806617737},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5716005563735962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48812541365623474},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12658318877220154},{"id":"https://openalex.org/keywords/messenger-rna","display_name":"Messenger RNA","score":0.10943815112113953},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.05532026290893555}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7213072776794434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889200806617737},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5716005563735962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48812541365623474},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12658318877220154},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.10943815112113953},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.05532026290893555},{"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:10.18653/v1/w17-3206","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-3206","pdf_url":"https://www.aclweb.org/anthology/W17-3206.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 First Workshop on Neural Machine Translation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-3206","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-3206","pdf_url":"https://www.aclweb.org/anthology/W17-3206.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 First Workshop on Neural Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2742148828.pdf","grobid_xml":"https://content.openalex.org/works/W2742148828.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W222053410","https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2124807415","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2153653739","https://openalex.org/W2222235228","https://openalex.org/W2293111166","https://openalex.org/W2437005631","https://openalex.org/W2525778437","https://openalex.org/W2552838200","https://openalex.org/W2573523139","https://openalex.org/W2595715041","https://openalex.org/W2963260202","https://openalex.org/W2963551569","https://openalex.org/W2963699608","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W4241645538"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W3011059803","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Despite":[0],"its":[1],"promise,":[2],"neural":[3],"machine":[4],"translation":[5,53],"(NMT)":[6],"has":[7],"a":[8],"serious":[9],"problem":[10],"in":[11,69],"that":[12,74],"source":[13,62],"content":[14,25,68],"may":[15],"be":[16],"mistakenly":[17],"left":[18],"untranslated.":[19],"The":[20],"ability":[21],"to":[22,42,60,110],"detect":[23,43],"untranslated":[24,44,67],"is":[26,86],"important":[27],"for":[28],"the":[29,46,57,61,92,95,103,112],"practical":[30],"use":[31],"of":[32,38,94,105],"NMT.":[33],"We":[34,100],"evaluate":[35],"two":[36,96],"types":[37],"probability":[39,50,55],"with":[40],"which":[41],"content:":[45],"cumulative":[47],"attention":[48],"(ATN)":[49],"and":[51,76,91,108],"back":[52],"(BT)":[54],"from":[56],"target":[58],"sentence":[59],"sentence.":[63],"Experiments":[64],"on":[65],"detecting":[66],"Japanese-English":[70],"patent":[71],"translations":[72],"show":[73],"ATN":[75,107],"BT":[77,85,109],"are":[78],"each":[79],"more":[80,87],"effective":[81,88],"than":[82,89],"random":[83],"choice,":[84],"ATN,":[90],"combination":[93],"provides":[97],"further":[98],"improvements.":[99],"also":[101],"confirmed":[102],"effectiveness":[104],"using":[106],"rerank":[111],"n-best":[113],"NMT":[114],"outputs.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}