{"created":"2020-12-12T16:18:32.760984+00:00","id":6760,"links":{},"metadata":{"_buckets":{"deposit":"3744a4f6-bfec-4f3b-8a3c-e5bfe7460262"},"_deposit":{"created_by":45,"id":"6760","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"depid","value":"6760"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00006760","sets":["1582963342780:1596102355557"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Burmese (Myanmar) Morphological Analysis: Data and Experiments","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This article presents a comprehensive study on two primary tasks in Burmese (Myanmar) morphological analysis: tokenization and part-of-speech (POS) tagging. Twenty thousand Burmese sentences of newswire are annotated with two-layer tokenization and POS-tagging information, as one component of the Asian Language Treebank Project. The annotated corpus has been released under a CC BY-NC-SA license, and it is the largest open-access database of annotated Burmese when this manuscript was prepared in 2017. Detailed descriptions of the preparation, refinement, and features of the annotated corpus are provided in the first half of the article. Facilitated by the annotated corpus, experiment-based investigations are presented in the second half of the article, wherein the standard sequence-labeling approach of conditional random fields and a long short-term memory (LSTM)-based recurrent neural network (RNN) are applied and discussed. We obtained several general conclusions, covering the effect of joint tokenization and POS-tagging and importance of ensemble from the viewpoint of stabilizing the performance of LSTM-based RNN. This study provides a solid basis for further studies on Burmese processing."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Computing methodologies"},{"interim":"Natural language processing"},{"interim":"Phonology / morphology"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-12-12"}],"displaytype":"preview","filename":"Burmese (Myanmar) Morphological Analysis- Data and Experiments.pdf","filesize":[{"value":"2.8 Mb"}],"format":"application/pdf","licensetype":"license_note","url":{"url":"https://meral.edu.mm/api/files/3744a4f6-bfec-4f3b-8a3c-e5bfe7460262/Burmese%20%28Myanmar%29%20Morphological%20Analysis-%20Data%20and%20Experiments.pdf"},"version_id":"ece0710c-455c-4fc9-af37-e28a9f7e0951"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"Issue 1","subitem_journal_title":"ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)","subitem_pages":"00-37","subitem_volume":"Volume 19"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Chenchen Ding"},{"subitem_authors_fullname":"Hnin Thu Zar Aye"},{"subitem_authors_fullname":"Win Pa Pa"},{"subitem_authors_fullname":"Khin Thandar Nwet"},{"subitem_authors_fullname":"Khin Mar Soe"},{"subitem_authors_fullname":"Masao Utiyama"},{"subitem_authors_fullname":"Eiichiro Sumita"}]}]},"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":"2019-07-01"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"10.1145/3325885"},"item_title":"Burmese (Myanmar) Morphological Analysis: Data and Experiments","item_type_id":"21","owner":"45","path":["1596102355557"],"publish_date":"2020-12-12","publish_status":"0","recid":"6760","relation_version_is_last":true,"title":["Burmese (Myanmar) Morphological Analysis: Data and Experiments"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2021-12-13T00:29:49.911073+00:00"}