Improvement of Computational Translation by Using Entropy Theory
Author:
Affiliation:
1. Hebei University of Engineering
2. Hebei Institute of Physical Education
3. Hebei Jiaotong Vocational and Technical College
Abstract
Publisher
Trans Tech Publications, Ltd.
Link
https://www.scientific.net/AMM.157-158.1153.pdf
Reference6 articles.
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3. R. Basili, M. T. Pazienza and P. Velardi, Semi-Automatic Extraction of Linguistic Information for Syntactic Disambiguation, Applied Artificial Intelligence. 7(1993) 339-364.
4. D. McCarthy and R. Navigli, The English Lexical Substitution Task, Language Resources and Evaluation. 43(2009) 139-159.
5. S. P. Ponzetto and R. Navigli, Knowledge-rich Word Sense Disambiguation rivaling supervised systems. In Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL) (2010) 1522–1531.
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