Dependency Parser for Malayalam: A Machine Learning Approach

A Dependency parser is important for applications like sentence structure identification, machine translation, clause boundary identification, question answering system etc. No work has been done so far in the field of dependency parser for Malayalam using machine learning approaches. Like any other Indian languages, Malayalam is a morphologically rich- less word order language (MoR-LWO). This property has the negative effect on the correctness of ordinary parsing. The proposed system is a dependency parser model for Malayalam using machine learning. Malt Parser with LIBSVM algorithm is used for modeling the proposed system.