초록
영어
Translation equivalence is very useful for bilingual lexicography, machine translation system,
cross‐lingual information retrieval and many applications in natural language processing. A
linear combination model of multiple features is used to filter extracted equivalences in this
paper. Experimental results indicate that performance of the combination model surpasses
other classifiers’ in open test. 1000 equivalences labeled by linear combination model are randomly selected and then evaluated. Its F1 measure achieves 88.13%. Its performances surpass those classifiers.
목차
Abstract
1. Introduction
2. Extraction of Translation Equivalences
3. Filtering translation equivalences
4. Experiment
5. Conclusions
References
1. Introduction
2. Extraction of Translation Equivalences
3. Filtering translation equivalences
4. Experiment
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보