Reflection on Textual Transformation between the Similar Languages

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 786
EP  - 790
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.186
DO  - 10.2991/itms-15.2015.186
ID  - Yu2015/11
ER  -