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Chinese-Lao bilingual NE alignment has a very important significance. Three entity alignment methods are proposed in this paper. Firstly, the paper proposes the similarity of bilingual entity fuzzy matching problem. Secondly, we use bilingual entity word sequence pattern similarity to propose Chinese entity model to match Lao entity method. Then we build a naive Bayes bilingual NE alignment model to align Chinese and Lao named entity in the comparable corpus, by mining knowledge information words of Chinese entities. In the end, the rules combine the advantages of the three methods are proposed to achieve the best results.

The structure of Microbial Fuel Cell (MFC) reactor was analyzed and improved by Reverse Engineering (RE) and Rapid Prototyping (RP) technology. Points cloud data of MFC reactor was accessed by hand-held laser scanner. The space surface and entity model were reconstructed accurately, and the structure of the reactor was optimized based on Imageware and Solidworks software. The reactor model was manufactured by RP machine. The optimization efficiency of MFC reactor was improved based on the combination of RE and RP, which has a good reference value for the development of MFC technology and products.