{"created":"2020-09-01T09:53:40.116740+00:00","id":3285,"links":{},"metadata":{"_buckets":{"deposit":"a3a6bda0-0825-4fe6-82e6-933b04e60b0d"},"_deposit":{"id":"3285","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3285"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3285","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Myanmar Part Of Speech Tagging using Backpropagation Neural Network","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"POS tagging is the process of automaticassigning a for each word with their categoriesthat best suits the definition of the word as well asthe context of the sentence of a natural languagein which it is used. It is also a fundamental stagein most natural language processing (NLP) tasks.There are different approaches to the problem ofPOS tagging. This paper describes the usage ofBPNN for Myanmar POS tagging. Experimentsshow that our analysis achieves a good result withsimple sentences and complex sentences.Experimental results are showed that on inputdata representation by 3-gram, 4-gram and 5-gram format. Open and close data are used toevaluate performance. 3-gram format for closedata and 4-gram format for open data are moresuitable and good results for POS tagging."}]},"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":"2019-07-19"}],"displaytype":"preview","filename":"188_PDFsam_PSC_final proof.pdf","filesize":[{"value":"137 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3285/files/188_PDFsam_PSC_final proof.pdf"},"version_id":"1c8e0598-7a92-428a-a477-989609bdcddd"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eighth 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":"Hnin, Hay Mar"},{"subitem_authors_fullname":"Pa, Win Pa"}]}]},"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":"2017-12-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://ucsy.edu.mm/onlineresource/handle/123456789/1050"},"item_title":"Myanmar Part Of Speech Tagging using Backpropagation Neural Network","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-19","publish_status":"0","recid":"3285","relation_version_is_last":true,"title":["Myanmar Part Of Speech Tagging using Backpropagation Neural Network"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T00:27:15.612457+00:00"}