{"id":14273,"created":"2025-01-18T22:48:08.049260+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00014273","sets":["581:768:778"]},"path":["778"],"owner":"1","recid":"14273","title":["An Accurate Morphological Analysis and Proper Name ldentification for Japanese Text Processing"],"pubdate":{"attribute_name":"公開日","attribute_value":"1994-03-15"},"_buckets":{"deposit":"f1174cc6-d5ee-48b7-9be3-8e6e1277f23c"},"_deposit":{"id":"14273","pid":{"type":"depid","value":"14273","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"An Accurate Morphological Analysis and Proper Name ldentification for Japanese Text Processing","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"An Accurate Morphological Analysis and Proper Name ldentification for Japanese Text Processing"},{"subitem_title":"An Accurate Morphological Analysis and Proper Name ldentification for Japanese Text Processing","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":"1994-03-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Center for Machine Translation  Carnegie Mellon University/Visiting researcher from NTT Data Communications Systems Corp."},{"subitem_text_value":"Center for Machine Translation  Carnegie Mellon University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Center for Machine Translation, Carnegie Mellon University/Visiting researcher from NTT Data Communications Systems Corp.","subitem_text_language":"en"},{"subitem_text_value":"Center for Machine Translation, Carnegie Mellon University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/14273/files/IPSJ-JNL3503006.pdf"},"date":[{"dateType":"Available","dateValue":"1996-03-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL3503006.pdf","filesize":[{"value":"1.0 MB"}],"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":"c3079869-d6ee-439f-905f-dd1cd4fce663","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1994 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tsuyoshi, Kitani"},{"creatorName":"Teruko, Mitamura"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tsuyoshi, Kitani","creatorNameLang":"en"},{"creatorName":"Teruko, Mitamura","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":"This paper describes a Japanese preprocessor used for syntactic and semantic parsing. It consists of three major components: ( l) a morphological analyzer called MAJESTY (Morphological Analyzer for Japanese Text Analysis)   (2) a proper name identification and grouping program  and (3) a format conversion program for an input to Tomita's generalized LR parser. To enable the parser to perform efficiently  the original morphological analyzer was modified to disambiguate its output when multiple possibilities for segmentations and parts of speech were found  and to pack ambiguous segments locally in the output. The grouping program identifies several segments forming one con  cept  which is often the case with proper names  and puts them together to provide a meaningful set of segments for the parser. The grouped segments are finally converted into a Lisp readab]e f. ormat and fed into the parser. Tested on financial news articles  the preprocessor success-fully segmented text and tagged parts of speech with a greater than 98% accuracy. Company names have been identified with over 80% in both recall and precision. Person and place names have also been recognized with over 90% accuracy. The preprocessor has been successfully integrated into the SHOGUN and TF.XTRACT information extraction systems which process texts in the TIPSTER domains of corporate joint ventures and microelectronics.","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper describes a Japanese preprocessor used for syntactic and semantic parsing. It consists of three major components: ( l) a morphological analyzer called MAJESTY (Morphological Analyzer for Japanese Text Analysis) , (2) a proper name identification and grouping program, and (3) a format conversion program for an input to Tomita's generalized LR parser. To enable the parser to perform efficiently, the original morphological analyzer was modified to disambiguate its output when multiple possibilities for segmentations and parts of speech were found, and to pack ambiguous segments locally in the output. The grouping program identifies several segments forming one con, cept, which is often the case with proper names, and puts them together to provide a meaningful set of segments for the parser. The grouped segments are finally converted into a Lisp readab]e f. ormat and fed into the parser. Tested on financial news articles, the preprocessor success-fully segmented text and tagged parts of speech with a greater than 98% accuracy. Company names have been identified with over 80% in both recall and precision. Person and place names have also been recognized with over 90% accuracy. The preprocessor has been successfully integrated into the SHOGUN and TF.XTRACT information extraction systems which process texts in the TIPSTER domains of corporate joint ventures and microelectronics.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"413","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"404","bibliographicIssueDates":{"bibliographicIssueDate":"1994-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"35"}]},"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":"プログラミング言語"}]},"weko_creator_id":"1"},"updated":"2025-01-23T00:52:30.977968+00:00","links":{}}