{"links":{},"id":11860,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00011860","sets":["581:677:681"]},"path":["681"],"owner":"1","recid":"11860","title":["日本語形態素解析の分類問題への変換とその解法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2001-09-15"},"_buckets":{"deposit":"cb975b34-da6b-4d63-8d6a-833d825a7798"},"_deposit":{"id":"11860","pid":{"type":"depid","value":"11860","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"日本語形態素解析の分類問題への変換とその解法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"日本語形態素解析の分類問題への変換とその解法"},{"subitem_title":"Conversion of Japanese Morphological Analysis into Classification Problem and Its Solving","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"論文","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2001-09-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"茨城大学工学部システム工学科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Systems Engineering, Faculty of Engineering, Ibaraki University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/11860/files/IPSJ-JNL4209003.pdf"},"date":[{"dateType":"Available","dateValue":"2003-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL4209003.pdf","filesize":[{"value":"203.2 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1ebea324-ec0f-4bf9-a050-932efa82af89","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2001 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"新納, 浩幸"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroyuki, Shinnou","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では日本語形態素解析が分類問題として取り扱えることを示し，決定リストを利用してその問題を解くことを試みる．日本語形態素解析は単語分割と分割された単語への品詞付けの2つの処理から成り立っている．入力文中の単語を構成している各文字に対して，S（開始文字），M（中間文字），E（終了文字）そしてI（その文字自身が単語）のいずれかの記号を付与することで，単語分割が可能になる．また品詞ごとに上記4つの記号を用意すれば，同時に品詞付けも行える．つまり日本語形態素解析は入力文の各文字に，前述した記号を付与する単一の分類問題に変換できる．ここでは帰納学習手法の1つである決定リストを利用して，訓練データから分類規則を学習し，その規則を利用して形態素解析を行った．1 000文の解析結果を形態素解析システム「茶筌」による解析結果と比較したところ，ほぼ同等の精度を得た．また「茶筌」による解析結果を本手法により修正するという形をとれば，最終的に得られた結果は「茶筌」よりも精度が良かった．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a new method for morphological analysis of Japanese texts.We convert Japanese morphological analysis into classification problem which is solved by the decision list method.Japanese morphological analysis consists of two processes:word segmentation and assignment of the part of speech to each segmented word.We can segment a sentence into words by assigning one of four symbols,which are  S (start point of word), M (middle point of word),E (end point of word) and I (that character is the word),to every character in the sentence.By setting up these four symbols for every part of speech,we can also assign the part of speech to the word simultaneously.Therefore, Japanese morphological analysis can be converted into a classification problem.To solve the classification problem, we use the decision list method,which is inductive learning method of sorts.In experiment,we compared the results of our method for 1,000 test sentences with the results of the Chasen system.The result were comparable for the two systems.Our method was also applied to the correction of the Chasen system output,which lead to improvement.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2228","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"2221","bibliographicIssueDates":{"bibliographicIssueDate":"2001-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"42"}]},"relation_version_is_last":true,"item_2_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"自然言語処理"}]},"weko_creator_id":"1"},"created":"2025-01-18T22:46:22.511707+00:00","updated":"2025-01-23T01:57:35.422027+00:00"}