I am an Assistant Professor in the Department of Humanities and Social Sciences, IIT Delhi, India.
My broad research interests are human sentence processing, natural language parsing, natural language modeling, and dependency grammar.
My current research investigates questions concerning the predictive nature of human sentence processing, working-memory constraints and
the interaction between the two. In addition to the research on sentence comprehension, I am also interested in reading processes in Hindi and Urdu.
- Research Grant: DST-CSRI Individual Research Proposal on "Prediction processes in sentence processing: Insights from Hindi" (Duration: 2016-2019; Grant money: 47.46 lakhs)
- New Paper: Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank. Himanshu Yadav, Ashwini Vaidya and Samar Husain. In Proceedings of the 15th International Workshop on Treebanks and Linguistic Theories (TLT15). Bloomington, USA. 2017. [pdf] [code]
- New Paper: Quantifying sentence complexity based on eye-tracking measures. Abhinav Singh, Poojan Mehta, Samar Husain and Rajakrishnan Rajkumar. In Proceedings of the Coling Workshop "Computational Linguistics for Linguistic Complexity" (CL4LC). Japan. 2016. [pdf]
- New Abstract: What Do Hindi Native Speakers Predict? Investigating Verb Class, Verb Morphology and Word Order. Apurva and Samar Husain. In Proceedings of the 38th International Conference of Linguistic Society of India, Guwahati, India. 2016.[slides]
Last updated: 02 December, 2016