A computational lens on language gives us the chance to understand and explain our specialized linguistic ability via computational grammars or models. At the same time, much of this work is not possible without the existence of basic linguistic resources like corpora and lexicons. My research aims at addressing both these goals, particularly for Indian languages (Hindi, Marathi, Urdu).

I am currently looking for PhD students with an interest in these and related areas.

Research Projects

1. A multi-dimensional and multi-layered Treebank for Hindi and Urdu (2009-14)

The goal of this project was to build a Hindi Treebank with both syntactic and semantic annotations. I was a graduate Research Assistant in this project during my PhD in Colorado. The project was sponsored by NSF and included participants from several universities (Colorado, Columbia, UMass, UW and IIIT-Hyderabad). More details about this project may be found at the project website. Publications resulting from this work are a book chapter about the annotation project as a whole, as well as several conference papers on empty argument insertion, verb frames, among others.

2. Representing Hindi Light Verb constructions in TAG and LFG (2013-14)

In this project, I carried out a comparison of Hindi light verb constructions in two computational lexicalized grammars Lexical Functional Grammar and Tree-Adjoining Grammar. This work formed a part of my PhD dissertation and involved a research visit to the University of Konstanz for 10 months, sponsored by a DAAD Research Grant. The work resulting from this project was published here.

3. Processing of complex event structures in Hindi (2016-18)

This project was part of my post-doctoral fellowship in IIT Delhi, and it focused on the psycholinguistic processing of light verbs in Hindi. The fellowship was sponsored by the DST-CSRI (Dept of Science and Technology, Cognitive Science Research Initiative, Govt of India). The results of this work are currently being written up and abstracts can be found here and here.