An Algorithm for Determining DingYu Structural Particle Using Grammar Knowledge and Statistical Information

Abstract

In a machine translation system from one language to Chinese, it is difficult to decide whether there is a structural particle “DE” between the “DingYu” and the “ZhongXinCi”. The DingYu is a term in Chinese grammar which resembles the modifier and the attributive words or phrases in English or Japanese, but not the same. The ZhongXinCi is refered to the word modified by DingYu. Nowadays a practical Japanese-Chinese machine translation system based on translation rules has been implemented. However, the current system lacks the ability for resolving the problem mentioned above. To resolve this problem, this paper presents an algorithm for determining DingYu structural particle using the grammar knowledge and statidtical information. We first collect a large number of grammar items from Chinese grammar books, and obtain some elementary judgment rules by classifying and inducing the collected grammar items. Then we put these judgment rules into use in actual Chinese language, and modify the rules by checking their results instantly. Lastly we check and modify the rules by using the statistical information from a actual corpus. An experiment system based on the proposed algorithm has been constructed and an experiment is carried out. The result shows the effectiveness of the presented method.