Experimental Research of Constructing Chinese and Uighur Bilingual Corpus;

To support an ongoing Chinese-English machine translation project, a Chinese English bilingual corpus is being set up.

This paper first investigates 4 co occurrence based models which are most often used to calculate word translation probabilities in bilingual corpus, and then proposes a machine aided dictionary compilation system based on log likelihood and iterative size reduction.

The Machine Translation Units extracted from the bilingual corpora can cover the natural language text even more.

In this paper, based on large scale bilingual corpora and the theory of vector space model and lexical mutual information, the traditional mono-language IR technology is applied to convert the challenge of translation of query keyword.

This paper develops a platform of Chinese-English bilingual corpus for Chinese medicine.

The Use of Parallel Corpora in Translator Training;

Taking full advantage of the computability of the concept in the HowNet,this paper changes word sense tagging in Chinese-English parallel corpora into the similarity calculation between the concept combinations of the aligned sentences of the two languages.

Over the past four decades,there has seen the unique advantages of parallel corpora in the field of cross language studies,translation studies and language teaching and learning.

In Natural Language Processing, the bilingual alignment corpora becomes more and more important, and has important research and application merit in the machine translating, dictionary compiling, information retrievaling, translation knowledge acquisitioning and term recognizing etc.

The topic of this paper is about the design of Bimodal Database for continuous Lip-Reading and the research on its material segmentation.