{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236281","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236281","title":["複数粒度の係り受け関係に基づくTransformerニューラル機械翻訳"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"1ccedb2a-4621-44f8-9e71-52ecf339ebc9"},"_deposit":{"id":"236281","pid":{"type":"depid","value":"236281","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"複数粒度の係り受け関係に基づくTransformerニューラル機械翻訳","author_link":["645824","645826","645825"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数粒度の係り受け関係に基づくTransformerニューラル機械翻訳"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"同志社大"},{"subitem_text_value":"同志社大"},{"subitem_text_value":"同志社大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236281/files/IPSJ-Z86-4W-04.pdf","label":"IPSJ-Z86-4W-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4W-04.pdf","filesize":[{"value":"452.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"aeba6b9d-73b3-4afc-a842-54607949c458","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐々木, 拓馬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田村, 晃裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 恒夫"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Transformerニューラル機械翻訳（NMT）は，入力文の構造を考慮することで性能改善が行われている．入力文の構造として係り受け関係を考慮する従来のTransformer NMTでは，翻訳対象の言語に依らず一律に単語単位の係り受け関係が使われている．しかし，日本語の文構造は，文節単位の係り受け関係で表すことが多い．そこで本研究では，単語単位の係り受け関係と共に文節単位の係り受け関係を自己注意機構で考慮するTransformer NMTを提案する．ASPECデータを用いた日英翻訳実験の結果，細かい粒度の係り受け関係から順に低層の自己注意機構で考慮することで性能が改善することを確認した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"898","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"897","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236281,"updated":"2025-01-19T09:19:19.283971+00:00","links":{},"created":"2025-01-19T01:38:14.810446+00:00"}