{"_buckets": {"deposit": "d2ffcd4a-5e6d-4000-bcfd-86a94b182706"}, "_deposit": {"created_by": 73, "id": "8004", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8004"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008004", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A hybrid approach for part-of-speech tagging of Burmese texts", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "\"Abstract—In Myanmar to English language translation system, in order to provide meaningful sentence from one language to another is non-trivial task. POS tagging is used as an early stage of linguistic text analysis in many applications. POS tagging is a process of assigning correct syntactic categories to each word. Tagsets and word disambiguation rules are fundamental parts of any POS tagger. This paper presents a new approach for POS tagging of Myanmar Language. Firstly, Users input a simple Myanmar sentence and then this sentence is segmented into words by using segmentation rules. These words are assigned to appropriate syntactic categories of Myanmar language by using rule based and probabilistic approach. This system applied CRF method for tagging POS ambiguities on words. CRF is a framework for building discriminative probabilistic models for segmenting and labeling sequential data. The tagsets for Myanmar POS, segmentation rule, tagging algorithm and CRF method are designed. The proposed approach is used UCSM Lexicon. So, this hybrid approach for POS tagging can give the optimal accuracy\nand robustness of machine translation system.\""}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "POS tagging; CRFmethod; Syntatic Categories;"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-02-09"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "A hybrid approach for part-of-speech tagging of Burmese texts.pdf", "filesize": [{"value": "279 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_3", "mimetype": "application/pdf", "size": 279000.0, "url": {"url": "https://meral.edu.mm/record/8004/files/A hybrid approach for part-of-speech tagging of Burmese texts.pdf"}, "version_id": "0d132f56-8e9b-46d5-8cf2-78f819a99015"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICCM", "subitem_c_date": "21-May-11", "subitem_conference_title": "2011 International Conference on Computer and Management (CAMAN)", "subitem_place": "Wuhan,China", "subitem_website": "https://ieeexplore.ieee.org/document/5778890/metrics#metrics"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Cynthia Myint"}]}]}, "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": "2011-05-06"}, "item_title": "A hybrid approach for part-of-speech tagging of Burmese texts", "item_type_id": "21", "owner": "73", "path": ["1582963674932", "1597396989070"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000008004", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-02-09"}, "publish_date": "2021-02-09", "publish_status": "0", "recid": "8004", "relation": {}, "relation_version_is_last": true, "title": ["A hybrid approach for part-of-speech tagging of Burmese texts"], "weko_shared_id": -1}