{"_buckets": {"deposit": "a58ac245-1213-4e3c-9d9f-530850f1c619"}, "_deposit": {"id": "4635", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4635"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4635", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Analyzing Word Error Rate using String Metrics Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The android speech recognizer acquiresspeech at run time through a microphone andprocesses the sampled speech to recognize theuttered text. But the output texts do not matchwith users’ data because English and Myanmartexts are different. This system thereforeproposed a method for obtaining more detailabout actual translation errors in the generatedoutput by using the Word Error Rate (WER)based on the string matching algorithms. Thispaper has investigated string metrics andcompared the performance of edit distance likeLeveshtein Distance (LD), Q-gram, cosinesimilarity and dice coefficient by conducting anexperiment on the Myanmar name using androidspeech recognizer output. In order to better fit avariety of android recognition problem overstrings, using the edit distance of LD isconsidered to be an appropriate approach. Thispaper shows over several experiments that thedistance obtains goods results in comparisonwith other normalized edit distance."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourteenth International Conference On Computer Applications (ICCA 2016)", "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": "Myint, Theint Zarni"}, {"subitem_authors_fullname": "Khaing, Myo Kay"}]}]}, "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": "2016-02-25"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/274"}, "item_title": "Analyzing Word Error Rate using String Metrics Algorithm", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004635", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4635", "relation": {}, "relation_version_is_last": true, "title": ["Analyzing Word Error Rate using String Metrics Algorithm"], "weko_shared_id": -1}