The Technical Analyses of Named Entity Translation

DOI

10.2991/isci-15.2015.266How to use a DOI?

Keywords

named entity translation; transliteration similarity; statistical method; web mining method

Abstract

There are three methods: rule-based method, statistical method and web mining method for named entity translation. The rule-based method did not achieve satisfactory results. High-quality translation equivalents can be obtained from parallel corpora for statistical method, and a prerequisite is the availability of a large scale of annotated corpora. The comparable corpora are easier to obtain than parallel corpora. But translation extraction from comparable corpora achieves lower accuracy than that of parallel corpora. Web mining method can acquire the translation of high-frequency named entities and it is difficult to translate the low-frequency named entities.

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  - Ying Liu
PY  - 2015/01
DA  - 2015/01
TI  - The Technical Analyses of Named Entity Translation
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2028
EP  - 2037
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.266
DO  - 10.2991/isci-15.2015.266
ID  - Liu2015/01
ER  -