2012/11/19 by Jessica C. Ramírez, Yuji Matsumoto, Ramírez, Jessica C. +2
Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL
paper · pdf · doi:10.48550/arxiv.1211.4488
International Journal on Natural Language Computing (IJNLC) Vol.1, No.3, October 2012
arxiv created 2012/11/19 · arxiv updated 2012/11/20
The performance of a Statistical Machine Translation System (SMT) system is proportionally directed to the quality and length of the parallel corpus it uses. However for some pair of languages there is a considerable lack of them. The long term goal is to construct a Japanese-Spanish parallel corpus to be used for SMT, whereas, there are a lack of useful Japanese-Spanish parallel Corpus. To address this problem, In this study we proposed a method for extracting Japanese-Spanish Parallel Sentences from Wikipedia using POS tagging and Rule-Based approach. The main focus of this approach is the syntactic features of both languages. Human evaluation was performed over a sample and shows promising results, in comparison with the baseline.