2026-07-28T21:21:37Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00008007 2021-12-13T06:59:51Z 1582963674932 1582963674932:1597396989070 user-miit

Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text Sin Thi Yar Myint Mie Mie Khin "Abstract: Myanmar POS (part of speech) tagging is one of the useful preprocessing steps for Myanmar to English machine translation system and other NLP activities of Myanmar text. Basically, the nature of Myanmar language is a subject-object-verb language but the order in syntactic patterns of the words can vary based on the position in the sentence. Therefore, to achieve the proper POS categories of the words in Myanmar text is a challenging task. This paper presents an approach to indentify part of speech of the known words in the written Myanmar text. This proposed system is defined detailed POS tag sets, tagging algorithm, POS disambiguation rules which are generated from morphological features of Myanmar grammar. So, this proposed system can provide the promising tagging accuracy for the written Myanmar text. " 2013-06-07 http://hdl.handle.net/20.500.12678/0000008007 https://meral.edu.mm/records/8007