{"_buckets": {"deposit": "e7976f76-1273-467f-9d0b-1968081ea69d"}, "_deposit": {"id": "3513", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3513"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3513", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Naïve Bayes for Function Tagging in Myanmar Language", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper proposes an approach toannotate function tags for unparsed text. We addressthe question of whether data-driven function tagassignment method can be applied to Myanmarlanguage. We assign function tags directly basing onlexical information, which is easily scalable forlanguages that lack sufficient parsing resources orhave inherent linguistic challenges for parsing. Weinvestigate a supervised sequence learning method toautomatically recognize function tags. In order todemonstrate the effectiveness and versatility of ourmethod, we investigate function tag assignment forunparsed text by applying Naïve Bayesian theory.Our approach to functional analysis is to classify, sofar as possible, all the processes and states whichlanguages must describe, and to identify thefunctional elements which are needed for each one toconstruct a meaningful sentence."}]}, "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": "2019-07-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (53).pdf", "filesize": [{"value": "58 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 58000.0, "url": {"url": "https://meral.edu.mm/record/3513/files/psc2010paper (53).pdf"}, "version_id": "dddddeb2-187d-491b-a83b-a0ae5bc3d66a"}]}, "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": "Thant, Win Win"}]}]}, "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/123456789/1256"}, "item_title": "Naïve Bayes for Function Tagging in Myanmar Language", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003513", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-25"}, "publish_date": "2019-07-25", "publish_status": "0", "recid": "3513", "relation": {}, "relation_version_is_last": true, "title": ["Naïve Bayes for Function Tagging in Myanmar Language"], "weko_shared_id": -1}