Study on Word Alignment for Reordering of Web-mined OOV Translation Candidates
Shuang Li 0, Meng Sun, Yang Yang, Jianmin Yao
0Yao Jian Min
Available Online December 2008.
- https://doi.org/10.2991/jcis.2008.105How to use a DOI?
- Web-based Data Mining; Word Align-ment; OOV Translation; Natural Lan-guage Processing
- Web information retrieval technology has been widespread concerned by research-ers. Web-based search of the OOV Trans-lation Mining has also become hot spots. In this paper, the re-ordering of OOV translation candidates is studied, which is the result of web mining. Automatic word alignment technology is used to calculate the weighted points for each candidate then sort the results, with the closely right candidate to be top ranking. The approach can make good performance in such as-pects like equal frequency or low fre-quency circumstances. We take some OOV phrases in different fields as test corpora for web mining, and evaluate out the method on it，and the result is en-couraging.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shuang Li AU - Meng Sun AU - Yang Yang AU - Jianmin Yao PY - 2008/12 DA - 2008/12 TI - Study on Word Alignment for Reordering of Web-mined OOV Translation Candidates BT - 11th Joint International Conference on Information Sciences PB - Atlantis Press SP - 621 EP - 626 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.105 DO - https://doi.org/10.2991/jcis.2008.105 ID - Li2008/12 ER -