Research on N-Gram–Based Mongolian Information Retrieval Unit

DOI

10.2991/icectt-15.2015.84How to use a DOI?

Keywords

Mongolian information retrieval; n-gram form; retrieval unit; structured query; language model

Abstract

In order to improve the efficiency of Mongolian information retrieval, further research is carried out on n-gram-based retrieval unit with selected information retrieval model by combining the characteristics of Mongolian language. Selectable information retrieval model include Vector Space Model and Language Model. Good-Turing Smooth and JM Smooth are employed for smooth. The following four steps are conducted for n-gram (n is from 2 to 5): establishment of corpus, query retrieval, retrieval and evaluation. Thereby, comparison is conducted on recall rate and precision rate to find out the proper retrieval unit. The results show that n-gram n=4 is the proper retrieval unit for Mongolian Information retrieval system.

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  - Junying Yue
AU  - Guanglai Gao
AU  - Min Lin
PY  - 2015/11
DA  - 2015/11
TI  - Research on N-Gram–Based Mongolian Information Retrieval Unit
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 439
EP  - 445
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.84
DO  - 10.2991/icectt-15.2015.84
ID  - Yue2015/11
ER  -