{"id":"https://openalex.org/W2963661253","doi":"https://doi.org/10.18653/v1/p16-1078","title":"Tree-to-Sequence Attentional Neural Machine Translation","display_name":"Tree-to-Sequence Attentional Neural Machine Translation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2963661253","doi":"https://doi.org/10.18653/v1/p16-1078","mag":"2963661253"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1078","doi":"https://doi.org/10.18653/v1/p16-1078","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1078","pdf_url":"https://www.aclweb.org/anthology/P16-1078.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2963661253"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/P16-1078.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069565463","display_name":"Akiko Eriguchi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akiko Eriguchi","raw_affiliation_strings":["The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054582135","display_name":"Kazuma Hashimoto","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuma Hashimoto","raw_affiliation_strings":["The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064113904","display_name":"Yoshimasa Tsuruoka","orcid":"https://orcid.org/0000-0002-0707-1077","observed_orcids":["https://orcid.org/0000-0002-0707-1077"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Tsuruoka","raw_affiliation_strings":["The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":21.456,"has_fulltext":true,"cited_by_count":282,"citation_normalized_percentile":{"value":0.99475553,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"823","last_page":"833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9916999936103821,"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":0.9916999936103821,"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":0.004800000227987766,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.0015999999595806003,"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/neural-machine-translation","display_name":"neural machine translation","score":0.8629999756813049},{"id":"https://openalex.org/keywords/phrase-structure","display_name":"phrase structure","score":0.5320000052452087},{"id":"https://openalex.org/keywords/syntactic-information","display_name":"syntactic information","score":0.8840000033378601},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9610000252723694},{"id":"https://openalex.org/keywords/english-japanese-translation","display_name":"English-Japanese translation","score":0.8019999861717224},{"id":"https://openalex.org/keywords/sequence-to-sequence-models","display_name":"sequence-to-sequence models","score":0.7149999737739563}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8346606492996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218019008636475},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7069249749183655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.666063129901886},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6652591228485107},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6552425026893616},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6125138401985168},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6091927289962769},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5514460802078247},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5260767340660095},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5151702165603638},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5056109428405762},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.43615832924842834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43302616477012634},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4290751814842224},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.14941775798797607},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10480332374572754},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.065805584192276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/p16-1078","doi":"https://doi.org/10.18653/v1/p16-1078","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1078","pdf_url":"https://www.aclweb.org/anthology/P16-1078.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1603.06075","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.06075","pdf_url":"https://arxiv.org/pdf/1603.06075","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.1603.06075","doi":"https://doi.org/10.48550/arxiv.1603.06075","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1603.06075","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1078","doi":"https://doi.org/10.18653/v1/p16-1078","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1078","pdf_url":"https://www.aclweb.org/anthology/P16-1078.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2914677756","display_name":"\u6f5c\u5728\u7684\u60c5\u5831\u306e\u63a8\u5b9a\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u591a\u8a00\u8a9e\u51e6\u7406\u306e\u7814\u7a76","funder_award_id":"15J12597","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963661253.pdf","grobid_xml":"https://content.openalex.org/works/W2963661253.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1753482797","https://openalex.org/W1815076433","https://openalex.org/W1902237438","https://openalex.org/W1908388472","https://openalex.org/W1965893653","https://openalex.org/W2064675550","https://openalex.org/W2100664567","https://openalex.org/W2101105183","https://openalex.org/W2104246439","https://openalex.org/W2112900913","https://openalex.org/W2116261113","https://openalex.org/W2116316001","https://openalex.org/W2118434577","https://openalex.org/W2127863960","https://openalex.org/W2130942839","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2136848157","https://openalex.org/W2138204974","https://openalex.org/W2153508793","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2167723982","https://openalex.org/W2175585630","https://openalex.org/W2212846646","https://openalex.org/W2222949842","https://openalex.org/W2227523508","https://openalex.org/W2251678492","https://openalex.org/W2402302915","https://openalex.org/W2756871636","https://openalex.org/W2759607775","https://openalex.org/W2949335953","https://openalex.org/W2950133940","https://openalex.org/W2962907349","https://openalex.org/W2964199361","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2963888305","https://openalex.org/W2923273077","https://openalex.org/W2609011624","https://openalex.org/W2889404673","https://openalex.org/W2769059894","https://openalex.org/W2739894144","https://openalex.org/W3085499573","https://openalex.org/W2952315335","https://openalex.org/W2902420767","https://openalex.org/W2963913268"],"abstract_inverted_index":{"Most":[0],"of":[1,13,63],"the":[2,11,35,46,64,69,88],"existing":[3],"Neural":[4],"Machine":[5],"Translation":[6],"(NMT)":[7],"models":[8,83],"focus":[9],"on":[10,68],"conversion":[12],"sequential":[14],"data":[15],"and":[16,84],"do":[17],"not":[18],"directly":[19],"use":[20],"syntactic":[21,27],"information.We":[22],"propose":[23],"a":[24,31,50],"novel":[25],"end-to-end":[26],"NMT":[28,82],"model,":[29],"extending":[30],"sequenceto-sequence":[32],"model":[33,39,77],"with":[34,57,87],"source-side":[36],"phrase":[37],"structure.Our":[38],"has":[40],"an":[41],"attention":[42],"mechanism":[43],"that":[44,74],"enables":[45],"decoder":[47],"to":[48],"generate":[49],"translated":[51],"word":[52],"while":[53],"softly":[54],"aligning":[55],"it":[56],"phrases":[58],"as":[59,61],"well":[60],"words":[62],"source":[65],"sentence.Experimental":[66],"results":[67],"WAT'15":[70],"Englishto-Japanese":[71],"dataset":[72],"demonstrate":[73],"our":[75],"proposed":[76],"considerably":[78],"outperforms":[79],"sequence-to-sequence":[80],"attentional":[81],"compares":[85],"favorably":[86],"state-of-the-art":[89],"tree-to-string":[90],"SMT":[91],"system.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":52},{"year":2018,"cited_by_count":46},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":4}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2019-07-30T00:00:00"}
