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Myanmar Institute of Information Technology
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Naypyitaw State Academy
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies, Meikhtila
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine Mandalay
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University of Public Health, Yangon
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Using a Grammar Checker for Detection Translated English Sentence
http://hdl.handle.net/20.500.12678/0000004052
http://hdl.handle.net/20.500.12678/0000004052afa1f43f-e8f0-4da1-aea0-2310e953cdcb
86f1d644-efd9-432d-b7d8-d204de5f12f9
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Using a Grammar Checker for Detection Translated English Sentence | |||||
Language | en | |||||
Publication date | 2011-05-05 | |||||
Authors | ||||||
Lin, Nay Yee | ||||||
Soe, Khin Mar | ||||||
Thein, Ni Lar | ||||||
Description | ||||||
Machine Translation Systems expect targetlanguage output to be grammatically correctwithin the frame of proper grammaticalcategory. In Myanmar-English statisticalmachine translation system, the proposed systemconcerns with the target language model tosmooth the translated English sentences. Most ofthe typical grammar checkers can detectungrammatical sentences and seek for whaterror it is. However, they often fail to detectgrammar errors for translated English sentencesuch as missing words. Therefore, we intend todevelop an ongoing grammar checker forEnglish as a second language (ESL). There aretwo main tasks in this approach: detecting thesentence pattern in chunk structure andanalyzing the chunk errors. This system identifiesthe chunk types and generates context freegrammar (CFG) rules for recognizinggrammatical relations of chunks. It also presentsa hybrid approach of trigram-based markovmodel with rule-based model. Experimentalresults show that the proposed grammar checkercan improve the effectiveness of translationquality. | ||||||
Keywords | ||||||
Statistical Machine Translation, English Grammar Checker, Context Free Grammar | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/176 | |||||
Journal articles | ||||||
Ninth International Conference On Computer Applications (ICCA 2011) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |