{"created":"2023-11-24T04:43:09.804969+00:00","id":2000112,"links":{},"metadata":{"_buckets":{"deposit":"5cf1539b-fb1c-40b7-8eee-8e7b9492b29d"},"_deposit":{"created_by":25,"id":"2000112","owner":"25","owners":[25],"pid":{"revision_id":0,"type":"depid","value":"2000112"},"status":"published"},"_oai":{"id":"oai:repository.ninjal.ac.jp:02000112","sets":["245:1700791953904"]},"author_link":[],"item_10003_biblio_info_32":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023","bibliographicIssueDateType":"Issued"},"bibliographicNumberOfPages":"14","bibliographicPageEnd":"39","bibliographicPageStart":"26","bibliographicVolumeNumber":"1","bibliographic_titles":[{"bibliographic_title":"言語資源ワークショップ発表論文集","bibliographic_titleLang":"ja"},{"bibliographic_title":"Proceedings of Language Resources Workshop","bibliographic_titleLang":"en"}]}]},"item_10003_description_27":{"attribute_name":"会議概要（会議名, 開催地, 会期, 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Japanese）という考えに基づいて誰もが理解できる言葉へと言い換える語彙リストを構築した。言い換え対象となる語は、次の2段階で選定した。まず、介護福祉士国家試験を元にした介護コーパスを構築し、現代日本語書き言葉均衡コーパスとの比較を行って介護コーパスの特徴語を抽出する。次に、NTT単語親密度データベースとクラウドソーシングを用いて、抽出された特徴語の単語親密度を調査する。調査の結果、一般の方と専門家との間で親密度の差が１以上あった語を対象語とする。これらの結果、言い換えの対象語は73語となった。その後、介護分野における日本語教育に知見のある専門家4名に協力を得て、用途に応じた3種類の言い換えを作成した。本リストは、介護分野への理解の助けとなるほか、今後増加が見込まれる外国人介護人材への日本語教育にも活用できると考えられる。","subitem_description_language":"ja","subitem_description_type":"Abstract"}]},"item_10003_description_43":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"\tapplication/pdf","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10003_description_51":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_description":"京都大学大学院","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":"京都大学","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10003_description_52":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_description":"Graduate 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