Multiple Factors Integration Based Text Alignment for Medical Database
Hong Lin Wu, Yi Yang Liu, Cheng Jie Dong, Ke Wang · Advanced materials research · 2013
The analysis and processing of medical data is very valuable, and the alignment for medical database in sentence level plays an important role in which. Among the existing sentence alignment approaches, the error propagation problem highly impacts the precision of the alignment result. This paper proposed a multiple factors integration based sentence alignment model (MFI). The MFI model integrated multiple factors to acquire the similarity map for sentence aligning; and used optimization matching strategy to get the alignment between the bilingual text. Experiments showed that, due to the introduction of the MFI model, the error propagation was avoid or relieved. And the overall error rate of sentence alignment was reduced by 20%.