Intelligent case based machine translation system

Wang JianDe; Chen ZhaoXiong; Huang HeYan

doi:10.1007/3-540-44686-9_21

Intelligent case based machine translation system

Wang JianDe^*, Chen ZhaoXiong, Huang HeYan

^*Corresponding author for this work

Chinese Academy of Sciences

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Interactive Hybrid Strategies Machine Translation (IHSMT) system has just been designed to solve the translation problems. It forms a nice interdependent cooperation relation between human and machine by interaction. The system achieves hybrid strategy translation by synthesizing the rule-based reasoning and case-based reasoning, and therefore overcomes the demerits of single strategy. This paper has done some work on learning mechanism of this system and proposes a learning model of human-machine tracking and memorizing (HMTM). This model can store the information of human-machine interaction into memory base as case of machine learning, and then gradually accumulate knowledge to improve the intelligence of MT system.

Original language	English
Pages (from-to)	197-205
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2004
DOIs	https://doi.org/10.1007/3-540-44686-9_21
Publication status	Published - 2001
Externally published	Yes

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JianDe, W., ZhaoXiong, C., & HeYan, H. (2001). Intelligent case based machine translation system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 197-205. https://doi.org/10.1007/3-540-44686-9_21

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Intelligent case based machine translation system

Abstract

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