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Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text

http://hdl.handle.net/20.500.12678/0000004683
3e535804-b275-4f3f-b666-918bf4808923
110e2fbd-2208-4d38-8408-a77ed5c1fcbf
Publication type
Article
Upload type
Publication
Title
Title Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text
Language en
Publication date 2018-02-22
Authors
Moe, Swe Zin
Thu, Ye Kyaw
Hlaing, Hnin Wai Wai
Nwe, Hlaing Myat
Aung, Ni Htwe
Thant, Hnin Aye
Min, Nandar Win
Description
This paper contributes the first evaluation of the quality of automatic translation between Myanmar sign language (MSL) and Myanmar written text, in both directions. Our developing MSL-Myanmar parallel corpus was used for translations and the experiments were carried out using three different statistical machine translation (SMT) approaches: phrase-based, hierarchical phrase-based, and the operation sequence model. In addition, three different segmentation schemes were studies, these were syllable segmentation, word segmentation and sign unit based word segmentation. The results show that the highest quality machine translation was attained with syllable segmentations for both MSL and Myanmar written text.
Keywords
Hierarchical Phrase-based Machine Translation, Myanmar sign language, Operation Sequence Model, Phrase-based Machine Translation, Word Segmentation
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/346
Journal articles
Sixteenth International Conferences on Computer Applications(ICCA 2018)
Conference papers
Books/reports/chapters
Thesis/dissertations
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