Description of the Chinese-to-Spanish Rule-Based Machine Translation System Developed Using a Hybrid Combination of Human Annotation and Statistical Techniques

@article{CostaJuss2015DescriptionOT,
  title={Description of the Chinese-to-Spanish Rule-Based Machine Translation System Developed Using a Hybrid Combination of Human Annotation and Statistical Techniques},
  author={Marta R. Costa-Juss{\`a} and Jordi Centelles},
  journal={ACM Trans. Asian & Low-Resource Lang. Inf. Process.},
  year={2015},
  volume={15},
  pages={1:1-1:13}
}
Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and corpus based, which include the statistical systems (SMT). When scarce parallel corpus is available, RBMT becomes particularly attractive. This is the case of the Chinese--Spanish language pair. This article presents the first RBMT system for Chinese to Spanish. We describe a hybrid method for constructing this system taking advantage of available resources such as parallel corpora that are used to extract… CONTINUE READING