2026-06-18T07:52:01Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3378 2021-12-13T06:04:28Z 1582963302567:1597824273898 user-ucsy

Building Word-Aligned Bilingual Corpus for Statistical Myanmar-English Translation Nwet, Khin Thandar In recent years statistical word alignmentmodels have been widely used for various NaturalLanguage Processing (NLP) problems. In this paperwe describe our work in constructing an alignedEnglish-Myanmar parallel corpus. Corpora are notavailable for Myanmar language and our work indeveloping parallel corpus will also hopefully bevery useful in many natural languageapplications. Word alignment plays a crucial role instatistical machine translation, since word-alignedcorpora have been found to be an excellent source oftranslation-related knowledge. If there were errors inalignment, this will cause subsequence failure NLPprocesses. The alignments produced when thetraining on word-aligned data are dramaticallybetter than when training on sentence-aligned data.The main purpose of this system is to provide as partof translation machine in Myanmar-English machinetranslation. The proposed system is combination ofcorpus based approach and dictionary lookupapproach. The corpus based approach is based onthe first three IBM models 2010-12-16 http://hdl.handle.net/20.500.12678/0000003378 https://meral.edu.mm/records/3378