An English-Chinese Machine Translation Ordering Model Based on Fuzzy Theory

作者：Ke, Wang; Yi, Chen^*

来源：Agro Food Industry Hi-Tech, 2017, 28(3): 3253-3256.

• fuzzy theory
• English Chinese machine translation
• ordering model

This study aimed at the language characteristics of English and Chinese and the fuzzy theory, the English-Chinese machine translation fuzzy maximum entropy ordering model based on fuzzy theory is put forward. Based on the fuzzy theory and the maximum entropy model, this model can extract more effective ordering rules from the training data to guide the process of translation and decoding. Experimental results show that, compared with the current main MSD (mono, swap, discontinuous) and other ordering methods, the proposed method can better reflect the characteristics of English and improves the quality of the target text. The method is a simple, fast and efficient method for the identification of English noun and phrases.

• 出版日期2017-6
• 单位西北农林科技大学