{"created":"2023-05-15T12:19:46.063189+00:00","id":10134,"links":{},"metadata":{"_buckets":{"deposit":"16599ba9-971a-4fbf-9017-90594bfb828a"},"_deposit":{"created_by":1,"id":"10134","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"10134"},"status":"published"},"_oai":{"id":"oai:kansai-u.repo.nii.ac.jp:00010134","sets":["528:1455:1459"]},"author_link":["20660","20661"],"control_number":"10134","item_9_alternative_title_20":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Using Multivariate Data Analyses to Categorize Subcorpora of the PERC Corpus","subitem_alternative_title_language":"en"}]},"item_9_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"106","bibliographicPageStart":"85","bibliographic_titles":[{"bibliographic_title":"統計数理研究所共同研究リポート232　「コーパス言語研究における量的データ処理のための統計手法の概観」","bibliographic_titleLang":"ja"}]}]},"item_9_description_4":{"attribute_name":"概要","attribute_value_mlt":[{"subitem_description":"本研究は，世界でも最大の科学技術英語コーパスであるPERCコーパスの領域（サブ・コーパス）が，どのように分類できるか，多変量解析を用いて検討することを目的とした。PERCコーパスの22領域における高頻度語を用い，機能語を除く上位200語を分析対象として，(a) クラスター分析，(b) 因子分析，(c) 主成分分析，(d) コレスポンデンス分析の4 つを行った。その結果，それぞれの方法で目的に合わせて領域分類が行えることが確認され，PERC コーパスはESP（EAP）において利用価値が高い言語資料であるということが確認された。","subitem_description_type":"Other"},{"subitem_description":"The purpose of current study is to investigate how subcorpora of the PERC Corpus can be categorized into registers by using a multivariate data analysis approach. The most frequent words, excluding function words, were used for the following analyses: cluster analysis, factor analysis, principal component analysis, and correspondence analysis. The results show that the PERC Corpus can be categorized into reasonable groups and that it is a very valuable source of ESP (EAP) discourse.","subitem_description_type":"Other"}]},"item_9_publisher_34":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"統計数理研究所"}]},"item_9_version_type_17":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"水本, 篤","creatorNameLang":"ja"},{"creatorName":"Mizumoto, Atsushi","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"野口, ジュディー","creatorNameLang":"ja"},{"creatorName":"Noguchi, Judy","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-05-22"}],"displaytype":"detail","filename":"KU-1100-20090000-01.pdf","filesize":[{"value":"1.7 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KU-1100-20090000-01.pdf","url":"https://kansai-u.repo.nii.ac.jp/record/10134/files/KU-1100-20090000-01.pdf"},"version_id":"e8365b27-f26c-4348-8320-86b771a6e277"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"多変量解析","subitem_subject_scheme":"Other"},{"subitem_subject":"PERCコーパス","subitem_subject_scheme":"Other"},{"subitem_subject":"ESP","subitem_subject_scheme":"Other"},{"subitem_subject":"EAP","subitem_subject_scheme":"Other"},{"subitem_subject":"語彙研究","subitem_subject_scheme":"Other"},{"subitem_subject":"関西大学","subitem_subject_scheme":"Other"},{"subitem_subject":"multivariate analyses","subitem_subject_scheme":"Other"},{"subitem_subject":"PERC Corpus","subitem_subject_scheme":"Other"},{"subitem_subject":"vocabulary research","subitem_subject_scheme":"Other"},{"subitem_subject":"Kansai University","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"多変量解析を用いたPERCコーパスの領域分類","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多変量解析を用いたPERCコーパスの領域分類","subitem_title_language":"ja"}]},"item_type_id":"9","owner":"1","path":["1459"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-03-05"},"publish_date":"2018-03-05","publish_status":"0","recid":"10134","relation_version_is_last":true,"title":["多変量解析を用いたPERCコーパスの領域分類"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-10-30T01:13:13.429170+00:00"}