Samar Husain | Humanities & Social Sciences

Samar Husain

Samar Husain
Associate Professor
Linguistics
CV Summary: 

Samar Husain is an Associate Professor in the Department of Humanities and Social Sciences at IIT Delhi. He teaches courses to undergraduates and postgraduates in the areas of linguistics, cognitive science, statistics, and psycholinguistics. His broad areas of research are human sentence processing, natural language modeling, natural language parsing, and dependency grammars. These topics lie at the intersection of psychology and computational/theoretical linguistics.

Contact Information

Department of Humanities and Social Sciences
Indian Institute of Technology Delhi
Hauz Khas,New Delhi-110016
Tel:+91-11-2659 7319(O)
samar[at]hss.iitd.ac.in

Research Areas

His broad areas of research are human sentence processing, natural language modeling, natural language parsing, and dependency grammars. These topics lie at the intersection of psychology, computational linguistics and theoretical linguistics.

His current research investigates the sources of sentence complexity (such as working-memory, orthography, grammatical representation and parsing strategy) during real-time language comprehension and production using behavioral, corpus-based as well as computational methods.

Publications

    Recent publications (2020 -- 2022)

  • Assessing corpus evidence for formal restrictions on crossing dependencies. Himanshu Yadav, Samar Husain and Richard Futrell. Computational Linguistics. 2022. [pdf]
  • Revisiting Anti-locality Effects: Evidence Against Prediction-Based Accounts Apurva and Samar Husain. Journal of Memory and Language. 2021. [pdf]
  • Do dependency lengths explain constraints on crossing dependencies? Himanshu Yadav, Samar Husain and Richard Futrell. Linguistics Vanguard. 2021. 7(s3): 20190070. [pdf]
  • Target complexity modulates syntactic priming during comprehension. Samar Husain and Himanshu Yadav. Frontiers in Psychology-Language Sciences. 2020.
  • [pdf]

  • Word order typology interacts with linguistic complexity: a cross-linguistic corpus study. Himanshu Yadav, Ashwini Vaidya, Vishakha Shukla, and Samar Husain. Cognitive Science. 2020. [pdf]
  • Clause final verb prediction in Hindi: Evidence for noisy channel model of communication. Kartik Sharma, Niyati Bafna and Samar Husain. In Proceedings of the Cognitive Modeling and Computational Linguistics (CMCL) 2021. [pdf]
  • What determines the order of verbal dependents in Hindi? Effects of efficiency in comprehension and production. Kartik Sharma, Richard Futrell and Samar Husain. In Proceedings of the Cognitive Modeling and Computational Linguistics (CMCL) 2020. [pdf]

For a complete list, see -- https://web.iitd.ac.in/~samar/publications.html

Website