Samar Husain

Samar Husain
Assistant Professor
Linguistics
CV Summary: 

Samar Husain is an Assistant Professor in the Department of Humanities and Social Sciences, IIT Delhi, India. He joined the department in December 2014. From 2011-2014 he was a postdoctoral researcher at Vasishth lab, University of Potsdam, Germany. He completed his PhD in computational linguistics from IIIT-Hyderabad, India in 2011.

His broad research interests are human sentence processing, natural language parsing, natural language modeling, and dependency grammars.

Contact Information

Department of Humanities and Social Sciences
Indian Institute of Technology Delhi
Hauz Khas,New Delhi-110016
Tel:+91-11-2659 7395(O)
samar[at]hss.iitd.ac.in

Research Areas

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 order to do this, I use experimental paradigms such as self-paced reading, sentence completion, etc. In addition to the research on sentence comprehension, I have recently done preliminary investigations on Hindi and Urdu reading patterns using the eye-tracking methodology.

Publications

    Recent publications and abstracts (2016 -- 2018)

  • Locality effect in a head final language: Evidence from Hindi. Samar Husain and Himanshu Yadav. In Proceedings of the Architectures and Mechanisms of Language Processing - Asia (AMLaP-Asia), University of Hyderabad, India. 2018. (to appear)
  • Crosslinguistic comparison of crossing dependencies using psycholinguistically motivated measures. Vishakha Shukla, Himanshu Yadav, Ashwini Vaidya and Samar Husain. In Proceedings of the Architectures and Mechanisms of Language Processing - Asia (AMLaP-Asia), University of Hyderabad, India. 2018. (to appear)
  • Role of prediction and memory constraints in processing crossing dependencies in Hindi. Himanshu Yadav and Samar Husain. In Proceedings of the Architectures and Mechanisms of Language Processing - Asia (AMLaP-Asia), University of Hyderabad, India. 2018. (to appear)
  • Working-memory constraints influence prediction processes in Hindi. Apurva and Samar Husain. In Proceedings of the Architectures and Mechanisms of Language Processing - Asia (AMLaP-Asia), University of Hyderabad, India. 2018. (to appear)
  • Forgetting effects in a head-final language: Evidence from Hindi. Samar Husain and Sakshi Bhatia. In Proceedings of the Architectures and Mechanisms of Language Processing - Asia (AMLaP-Asia), University of Hyderabad, India. 2018. (to appear)
  • Handling non-projectivity in a dependency-to-phrase-structure conversion algorithm for Hindi. Himanshu Yadav, Ashwini Vaidya and Samar Husain. In 39th International Conference of Linguistic Society of India, IIT Patna. 2017.
  • Understanding constraints on non-projectivity using novel measures. Himanshu Yadav, Ashwini Vaidya and Samar Husain. In Proceedings of the International Conference on Dependency Linguistics, Pisa. 2017.
  • Role of expectation and working memory constraints in Hindi comprehension: An eyetracking corpus analysis. Arpit Agrawal, Sumeet Agarwal and Samar Husain. Journal of Eye Movement Research, 10(2):4, 1-15, 2017. [pdf | code]
  • 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]
  • 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]
  • 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]
  • Dependency resolution difficulty increases with distance in Persian separable complex predicates. Molood Sadat Safavi, Samar Husain, and Shravan Vasishth. In Proceedings of the 22nd AMLaP conference, Architectures and Mechanisms for Language Processing, Bilbao, Spain. 2016. [poster]
  • Role of expectation and memory constraints in Hindi comprehension: An eyetracking corpus analysis. Arpit Agrawal, Sumeet Agarwal, and Samar Husain. 2nd Indian Workshop on Machine Learning (iWML), IIT Kanpur, India. 2016. [pdf | code]
  • Dependency resolution difficulty increases with distance in Persian separable complex predicates: Evidence for expectation and memory-based accounts. Molood Sadat Safavi, Samar Husain, and Shravan Vasishth. Frontiers in Psychology, 7, 2016. Special Issue on Encoding and Navigating Linguistic Representations in Memory. [pdf | code]
  • Processing Hindi relative clauses: Evidence against expectation-based theories. Samar Husain and Shravan Vasishth. In Proceedings of the 29th CUNY Sentence Processing Conference, University of Florida, Gainesville, USA. 2016.
  • Linear proximity effects in Hindi reciprocal resolution. Samar Husain and Dave Kush. In Proceedings of the 29th CUNY Sentence Processing Conference, University of Florida, Gainesville, USA. 2016.
  • Dependency resolution difficulty increases with distance in Persian complex predicates: Evidence against the expectation-based account. Molood Sadat Safavi, Samar Husain, and Shravan Vasishth. In Proceedings of the 29th CUNY Sentence Processing Conference, University of Florida, Gainesville, USA. 2016.
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