2024-03-28T20:49:50Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/4339
2022-03-24T23:12:05Z
1582963302567:1597824273898
user-ucsy
Detection and Suggestion English Grammar Errors for MyanmarEnglish Machine Translation System
Lin, Nay Yee
Soe, Khin Mar
Thein, Ni Lar
This paper presents a system for detectionand suggestion English grammar errors inMyanmar-English statistical machine translationsystem. There are very few spelling errors in thetranslation output, because all words come fromMyanmar-English Bilingual corpus. However,the translated sentences might be incomplete ingrammar because the syntactic structures ofMyanmar and English language are totallydifferent. Therefore, we propose a chunk-basedgrammar checker by using Naïve Bayesiantheory and rule-based model. Context freegrammar (CFG) is also applied to make chunkbased sentence pattern. The syntactic chunkstructure of a sentence is used to recognizegrammatical relations of chunks. This systemevaluated the performance of detection andsuggestion for simple, compound and complexsentence types. The effectiveness of the systemcan be confirmed through the experimentalresults.
2012-02-28
http://hdl.handle.net/20.500.12678/0000004339
https://meral.edu.mm/records/4339