2026-03-08T13:19:08Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4680 2021-12-13T06:48:23Z 1582963302567:1597824273898 user-ucsy

Unsupervised Dependency Parsing for Myanmar Language using Part-of-Speech Information Aye, Hnin Thu Zar Pa, Win Pa Thu, Ye Kyaw In this paper, we present the preliminary experimentsof unsupervised dependency parsing on rawsegmented and part-of-speech (POS) tagged corpusof Myanmar language. This experiment is aimed tosupport building treebank and get ann-otated corpuswith dependency structures of My-anmar words. Thereferenced word dependency schemes are alsoexplained. We present the expr-imental results ontrees of unsupervised parsed annotated corpus interms of unlabeled and labe-led attachment scores(UAS and LAS) by UDPi-pe 89.79 % and 85.56% fortest and 98.25% and 97.89% for trained datarespectively. 2018-02-22 http://hdl.handle.net/20.500.12678/0000004680 https://meral.edu.mm/records/4680