{"created":"2020-09-01T15:35:53.517666+00:00","id":4974,"links":{},"metadata":{"_buckets":{"deposit":"f52e5878-2501-4f1c-b5a8-c28a78703995"},"_deposit":{"id":"4974","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4974"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4974","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Automatic Acquisition of Noun Relations for Constructing Myanmar WordNet","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper describes the acquisition of nounrelations for constructing Myanmar WordNet.WordNet is a useful lexical resource where specificsenses of words are clustered together into synonymysets, and semantic relationships between the sets arespecified. WordNet is used in various NLP research,such as Information Extraction, InformationRetrieval and in most other NLP application. Thesystem has three steps. First, extract the lexicosemantic relations by using LexicoSyntactic Patternmethod. Second, by using information theoreticnotion of mutual information, the new coming wordhas to be estimated to identify and in which theexisting word of the association with sense. Third,refine the sense of noun word by manual. We havecollected the noun word list (8943 words) and 55patterns. We have obtained 87.9 % accuracy in senseidentification. The system shows noun relationshipbetween not only word level but also sense number.The system is implemented using Java."}]},"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":"2019-07-12"}],"displaytype":"preview","filename":"psc2010paper (139).pdf","filesize":[{"value":"230 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4974/files/psc2010paper (139).pdf"},"version_id":"a70ce0f3-9be8-4b83-bb1f-d30352e0bb7d"}]},"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":"Win, Thandar"},{"subitem_authors_fullname":"Htay, Hla Hla"}]}]},"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/123456789/872"},"item_title":"Automatic Acquisition of Noun Relations for Constructing Myanmar WordNet","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-12","publish_status":"0","recid":"4974","relation_version_is_last":true,"title":["Automatic Acquisition of Noun Relations for Constructing Myanmar WordNet"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T04:05:53.985614+00:00"}