{"updated":"2025-01-22T08:17:47.155937+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00048876","sets":["1164:4179:4250:4254"]},"path":["4254"],"owner":"1","recid":"48876","title":["確率的モデルによる仮名漢字変換"],"pubdate":{"attribute_name":"公開日","attribute_value":"1998-05-28"},"_buckets":{"deposit":"aa270aae-88e4-42a5-a1c5-b610295bf870"},"_deposit":{"id":"48876","pid":{"type":"depid","value":"48876","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"確率的モデルによる仮名漢字変換","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"確率的モデルによる仮名漢字変換"},{"subitem_title":"Kana - Kanji Conversion by A Stochastic Model","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"1998-05-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本IBM東京基礎研究所"},{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Research Laboratory, IBM Japan","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/48876/files/IPSJ-NL98125010.pdf"},"date":[{"dateType":"Available","dateValue":"2000-05-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL98125010.pdf","filesize":[{"value":"765.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4d8dac82-fc22-4801-b1e3-ba6d77b6a57f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1998 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"森, 信介"},{"creatorName":"土屋, 雅稔"},{"creatorName":"山地, 治"},{"creatorName":"長尾, 真"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shinsuke, Mori","creatorNameLang":"en"},{"creatorName":"Tsuchiya, Masatoshi","creatorNameLang":"en"},{"creatorName":"Osamu, Yamaji","creatorNameLang":"en"},{"creatorName":"Makoto, Nagao","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では、確率的モデルによる仮名漢字変換を提案する。これは、従来の規則とその重みに基づく仮名漢字変換と異なり、入力に対応する最も確率の高い仮名漢字混じり文を出力とする。この方法の有効性を確かめるため、片仮名列と仮名漢字混じり文を有するコーバスを用いた変換実験を行ない、変換精度を測定した。変換精度は、第一変換候補と正解の最長共通部分列の文字数に基づく再現率と適合率である。この結果、我々の提案する手法による再現率は95.07％であり、適合率は93.94％であった。これは、市販の仮名漢字変換器の一つであるWnn6の同じテストコーパスに対する再現率(91.12％)と適合率(91.17％)を有意に上回っており、確率的モデルによる仮名漢字変換の有効性を示す結果となった。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we present a kanji-kanji converter by a stochastic model. Given an input this method returns the most probable kana-kanji character sequence. For its evaluation, we converted kana sequences of a corpus containing kana-kanji sequences. The criterion we used is the ratio of the length of longest common subsequece. The recall and precision of our method are 95.07% and 93.94% respectively. This result is much better than that of Wnn6 (recall: 91.12%; precision: 91.17%).","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"99","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告自然言語処理（NL）"}],"bibliographicPageStart":"93","bibliographicIssueDates":{"bibliographicIssueDate":"1998-05-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"48(1998-NL-125)","bibliographicVolumeNumber":"1998"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:14:01.150326+00:00","id":48876,"links":{}}