{"created":"2020-09-01T14:32:08.359838+00:00","id":4342,"links":{},"metadata":{"_buckets":{"deposit":"c1ba4aa9-0f48-4e4b-97d9-7b395ee35d52"},"_deposit":{"id":"4342","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4342"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4342","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Resolving Function Tagging Ambiguity in the Myanmar Language Using Transformation-Based Learning","subitem_1551255648112":"en_US"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This article investigates the use oftransformation-based learning for resolvingfunction tagging ambiguity in the Myanmarlanguage. Function tagger plays an importantrole in natural language applications like speechrecognition, natural language parsing,information retrieval and information extraction.In this paper, the function tagger [12] learnsrules to correct its mistakes. A set of ruletemplates is used to create specific rules. Atinitial stage of function tagging for Myanmar, itis trained with a very limited resource ofannotated corpus. The performance can bemaximized with a substantial amount ofannotated corpus. The function tagset has beendeveloped for training and testing the functiontagger. The present tagset consists of 56 tags. Acorpus size of about three thousand sentences isused for training and testing the accuracy of thefunction tagger. The tagger learned 192 rules(including lexical and contextual rules) andachieved 93% accuracy."}]},"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":"2019-09-25"}],"displaytype":"preview","filename":"10071.pdf","filesize":[{"value":"574 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4342/files/10071.pdf"},"version_id":"4c252535-2d57-4d2a-b6b3-194ae147ac0c"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Tenth International Conference On Computer Applications (ICCA 2012)","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":"Thant, Win Win"},{"subitem_authors_fullname":"Htwe, Tin Myat"},{"subitem_authors_fullname":"Thein, Ni Lar"}]}]},"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":"2012-02-28"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2279"},"item_title":"Resolving Function Tagging Ambiguity in the Myanmar Language Using Transformation-Based Learning","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-09-25","publish_status":"0","recid":"4342","relation_version_is_last":true,"title":["Resolving Function Tagging Ambiguity in the Myanmar Language Using Transformation-Based Learning"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:12:05.040858+00:00"}