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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text

http://hdl.handle.net/20.500.12678/0000007665
http://hdl.handle.net/20.500.12678/0000007665
24707c91-c0fb-40c6-808b-b6ee4743ba4f
7783d376-dcbe-403c-9901-e4918a617ea6
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Statistical Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text.pdf (926 KB)
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Journal article
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Publication
Title
Title Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text
Language en
Publication date 2018-03-13
Authors
Swe Zin Moe
Ye Kyaw Thu
Hnin Wai Wai Hlaing
Hlaing Myat Nwe
Ni Htwe Aung
Hnin Aye Thant
Nandar Win Min
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
Journal articles
Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text
Pages 217-227
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