Abstract: Bilingual parallel corpus is an important resource for multilingual natural language processing. It has been widely used in the fields of machine translation, machine-assisted translation, translation knowledge extraction and cross-language information retrieval. In this paper, the automatic alignment of Chinese-Indonesian parallel corpus and the automatic extraction of comparable corpus are proposed. Firstly, a paragraph alignment method based on the combination of anchor point and dictionary is proposed. On this basis, the length alignment model based on confidence interval is used to achieve sentence alignment. At the same time, in order to quickly improve the construction efficiency of the Chinese-Indonesian parallel corpus, a comparable corpus extraction method based on the similarity of cross-language documents is proposed. The experimental results show that the accuracy of parallel corpus alignment method and comparable corpus extraction method is significantly higher than that of traditional methods, which indicates that the proposed method is effective and feasible.

Key words: parallel corpus, corpus construction, comparable corpus, paragraph alignment, sentence alignment