Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Reflection on Textual Transformation between the Similar Languages

Authors
Qing Yu, I. Dawa, Ling Wang, T. Aniwar
Corresponding Author
Qing Yu
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.186How to use a DOI?
Keywords
Mongolian language; similar language cross processing; data-driven approach; knowledge-based rule bank; DP algorithm
Abstract
In this paper, we discuss a method of a textual transformation between the similar languages taking Mongolian as an example. The textual transformation approach is performed by combining a knowledge-based rule bank with data driven method. DP algorithm (dynamic programming) is applied to matching of the source and target language words. Our experimental results demonstrate that the proposed method has achieved 83.9% transformation accuracy (in F-measure) from NM (Cyrillic) to TM (Traditional Mongolian) text, and 88.1% for NM to TODO.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.186How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qing Yu
AU  - I. Dawa
AU  - Ling Wang
AU  - T. Aniwar
PY  - 2015/11
DA  - 2015/11
TI  - Reflection on Textual Transformation between the Similar Languages
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.186
DO  - https://doi.org/10.2991/itms-15.2015.186
ID  - Yu2015/11
ER  -