Improved adaptive algorithm for Chinese-Uyghur sentence alignment

This paper proposes an improved adaptive algorithm for Chinese-Uyghur sentence alignment.Traditional alignment methods can not well adapt to change in types of corpus,the algorithm makes ues of current Chinese-Uyghur text length ratio of bytes and historical matching model,modifies the alignment model parameters dynamically to meet the changes in types of corpus and improves sentence alignment algorithm performance.Compared with alignment algorithm based on length,alignment improves alignment accuarcy 3.5 percentage and recall 2.7 percentage,compared with mixed-aligned model,alignment improves 1.9 percentage and 1.8 percentage.Experimental results show that the algorithm can adapt to change in types of corpus well.