{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00056584","sets":["1164:5159:5162:5163"]},"path":["5163"],"owner":"1","recid":"56584","title":["PLSA言語モデル適応におけるアニーリングスケジュールの評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-12-02"},"_buckets":{"deposit":"9f5a0980-605f-4251-8c5a-a4c0859b0c00"},"_deposit":{"id":"56584","pid":{"type":"depid","value":"56584","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"PLSA言語モデル適応におけるアニーリングスケジュールの評価","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"PLSA言語モデル適応におけるアニーリングスケジュールの評価"},{"subitem_title":"Evaluation of annealing schadule for PLSA language model adaptaion","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-12-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"山形大学大学院理工学研究科／東北大学大学院工学研究科"},{"subitem_text_value":"山形大学大学院理工学研究科"},{"subitem_text_value":"東北大学大学院工学研究科"},{"subitem_text_value":"東北大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering, Yamagata University / Graduate School of Engineering, Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Yamagata University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Tohoku 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/56584/files/IPSJ-SLP08074009.pdf"},"date":[{"dateType":"Available","dateValue":"2010-12-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP08074009.pdf","filesize":[{"value":"562.4 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":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"149d0610-813c-4fac-9d32-f261e53e3aab","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"加藤正治"},{"creatorName":"小坂, 哲夫"},{"creatorName":"伊藤, 彰則"},{"creatorName":"牧野, 正三"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaharu, Kato","creatorNameLang":"en"},{"creatorName":"Tetsuo, Kosaka","creatorNameLang":"en"},{"creatorName":"Akinori, Ito","creatorNameLang":"en"},{"creatorName":"Shozo, Makino","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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":"潜在的意味解析 (PLSA) の学習においてアニーリングを行うことは局所最適解に陥ることを防ぐ意味で重要である．本報告では，アニーリングスケジュールを連続関数で定義することで明確化し網羅的な比較検討をする．提案法を 「日本語話し言葉コーパス (CSJ) 」 の講演音声で評価しところ，増加関数に基づくアニーリングスケジュールで作成した言語モデルは， 28.7％ のパープレキシテイ削減と 5.3％ の単語誤り率の改善を得た．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Probabilistic Latent Semantic Analysis (PLSA) is a powerful statistical laguage model. However the PLSA has the local maxima problem. To overcame this problem, the EM annealing algorithm has been proposed. In this paper, we designed annealing schedule /3 with some continuous functions. As a result, we found that increas ing functions and square root functions are the best for annealing schedule. In the experiment, we obtain 28.7% perplexity reduction and 5.3% word error rate reduction.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"53","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"49","bibliographicIssueDates":{"bibliographicIssueDate":"2008-12-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"123(2008-SLP-074)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:19:58.295181+00:00","updated":"2025-01-22T04:53:26.190863+00:00","id":56584}