{"created":"2020-09-01T09:59:46.255158+00:00","id":3353,"links":{},"metadata":{"_buckets":{"deposit":"aa54a640-f00d-4a28-9ba4-fe15467b5e8c"},"_deposit":{"id":"3353","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3353"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3353","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Myanmar Handwritten Recognition and Erratum Detection by using MICR","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper contribute recognition and detectionerratum for Myanmar handwritten compound words.MICR (Myanmar Intelligent Character Recognition)is used for the character recognition. Because thismethod is interesting algorithm to recognizeMyanmar characters that has been developedrecently in Myanmar. It contains statistical, semanticand the final decision is made by the voting system.Erratum Detection, it is a new contribution ofdetecting compound word in string texts. Itdependent on the language set of string substitutionsreflects the surface form of errors that result fromcognitive, typographical mistakes, or mistyping. Arobust erratum detection technique is needed tocover above all situation. The system index pairpossible extended/medial code and then provides apair code for detect complete compound word. Indetection, it has three situations: twice the sameextended, extended/medials pair not matching errorand not compound word in real. The final output,Myanmar compound words will be produced editabletext with highlight in each error word."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-22"}],"displaytype":"preview","filename":"psc2010paper (177).pdf","filesize":[{"value":"379 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3353/files/psc2010paper (177).pdf"},"version_id":"e50548bb-3fd8-483e-9f72-3f941689cb29"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fifth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Yee, San Su Su"},{"subitem_authors_fullname":"Thein, Yadana"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2010-12-16"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1112"},"item_title":"Myanmar Handwritten Recognition and Erratum Detection by using MICR","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-22","publish_status":"0","recid":"3353","relation_version_is_last":true,"title":["Myanmar Handwritten Recognition and Erratum Detection by using MICR"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T06:03:21.883629+00:00"}