{"_buckets": {"deposit": "775f6e04-88b0-42d2-a406-4ea11cdb18d7"}, "_deposit": {"created_by": 45, "id": "6849", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "6849"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00006849", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Anaphora resolution which most commonly appears as pronoun resolution is the problem of\nresolving references to earlier or later items in the discourse. Anaphora resolution is an active area of\nresearch, such as text mining, text summarization, dialogue interpretations, information extraction, and so on.\nAnaphora resolution in English and other European languages has been well done in early. But Myanmar\nLanguage has not sufficiently applied. This paper presents Myanmar anaphora resolution system by using\nrule-based part of speech tagging and machine learning approach. Rule-based manner with morphological\ninformat ion is used to collect anaphora and possible antecedents. K-Nearest Neighbor (k-NN) approach is used to select the most probable candidate as the antecedent of the anaphor."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "anaphora resolution"}, {"interim": "machine learning"}, {"interim": "k-nearest neighbour"}, {"interim": "morphological features"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-12-15"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm.pdf", "filesize": [{"value": "468 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 468000.0, "url": {"url": "https://meral.edu.mm/record/6849/files/Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm.pdf"}, "version_id": "01f61146-0cbb-4003-93e9-5f39e7346304"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICFCC 2019", "subitem_c_date": "27 February - 1 March, 2019", "subitem_conference_title": "The 11th International Conference on Future Computer and Communication", "subitem_place": "Yangon, Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Khin Theink Theink Soe"}, {"subitem_authors_fullname": "Tin Htar Nwe"}, {"subitem_authors_fullname": "Khin Thandar Nwet"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-03-01"}, "item_title": "Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006849", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-12-15"}, "publish_date": "2020-12-15", "publish_status": "0", "recid": "6849", "relation": {}, "relation_version_is_last": true, "title": ["Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm"], "weko_shared_id": -1}