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About the Project

Dependency parsing is the process of analyzing the grammatical structure of a sentence and thereby identifying the underlying relationships between the words. The dependency parser constructs a tree by considering the main verb in a sentence as the root and identifying how other words are related to this root. This process is challenging for Indian languages because of the free order nature of the languages. The challenge is more for code-mixed Indian languages. This project aims to apply Natural Language Processing (NLP) methods to develop dependency parsers for Indian languages/code-mixed Indian languages using deep learning algorithms. We also aim to use the dependency parser for other NLP tasks like text classification in this project.

Department & Campus

Center for Computational Engineering and Networking (CEN), Coimbatore Campus

Academic criteria

Master’s degree in Computer Science/Artificial Intelligence/Data Science or other related subjects. Degree-level mathematics, computer science (or equivalent) required. Applicants should be good at programming.

Faculty Profile

Dependency Parser and Its application in Natural Language Processing Applications
Dr Premjith B

Assistant Professor, Center for Computational Engineering and Networking (CEN), Amrita School of Computing, Amrita Vishwa Vidyapeetham, Coimbatore

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How to Apply

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