2026-04-19T12:40:56Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3285 2021-12-13T00:27:15Z 1582963302567:1597824273898 user-ucsy

Myanmar Part Of Speech Tagging using Backpropagation Neural Network Hnin, Hay Mar Pa, Win Pa POS tagging is the process of automaticassigning a for each word with their categoriesthat best suits the definition of the word as well asthe context of the sentence of a natural languagein which it is used. It is also a fundamental stagein most natural language processing (NLP) tasks.There are different approaches to the problem ofPOS tagging. This paper describes the usage ofBPNN for Myanmar POS tagging. Experimentsshow that our analysis achieves a good result withsimple sentences and complex sentences.Experimental results are showed that on inputdata representation by 3-gram, 4-gram and 5-gram format. Open and close data are used toevaluate performance. 3-gram format for closedata and 4-gram format for open data are moresuitable and good results for POS tagging. 2017-12-27 http://hdl.handle.net/20.500.12678/0000003285 https://meral.edu.mm/records/3285