A Data-driven Approach for Cross Transformation Between Mongolian texts

DOI

10.2991/icssr-13.2013.84How to use a DOI?

Keywords

Mongolian texts; cross language transformation; DP; data driven approach

Abstract

This paper discusses a data-driven approach to transforming different graphic texts of Mongolian. Using the proposed approach, it is possible to transcribe or translate texts between similar languages such as Mongolian graphic texts used in different regions and countries, as well as the Altaic family languages like Uygur Turkic and Kazakh. The approach has been implemented based on DP (dynamic programming) matching supported by the knowledge-based sequence matching, referred to a multilingual dictionary and a data-driven approach of the target language corpus. Experimental results demonstrate that the proposed method achieves 86.4% transformation accuracy (in F-measure) for the NM (Cyrillic) to the TM (Traditional Mongolian) mainly used in the inner Mongolia, and 91.1% NM to Todo, which is mainly used in Xinjiang areas in China.

Copyright

© 2013, 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  - Yidemucao Dawa
AU  - Niyazbek Muheyat
AU  - Amantay Ayjarken
PY  - 2013/07
DA  - 2013/07
TI  - A Data-driven Approach for Cross Transformation Between Mongolian texts
BT  - Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)
PB  - Atlantis Press
SP  - 370
EP  - 375
SN  - 1951-6851
UR  - https://doi.org/10.2991/icssr-13.2013.84
DO  - 10.2991/icssr-13.2013.84
ID  - Dawa2013/07
ER  -