Samar Husain

Samar Husain
Assistant Professor
Linguistics
CV Summary: 

Samar Husain is an Assistant Professor in the Department of Humanities and Social Sciences at IIT Delhi since 2014. He teaches courses to undergraduates and postgraduates in the areas of linguistics, cognitive science, statistics, and psycholinguistics. He completed his Ph.D. in 2011 from IIIT-Hyderabad, India. Subsequently, from 2011 to 2014, he was a post-doctoral researcher at the Vasishth lab, University of Potsdam, Germany.

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 and abstracts (2019 -- 2020)

  • Word order typology interacts with linguistic complexity: a cross-linguistic corpus study. Himanshu Yadav, Ashwini Vaidya, Vishakha Shukla, and Samar Husain. Cognitive Science. 2020. Accepted.
  • Word order typology interacts with linguistic complexity: Evidence for 'limited' adaptability. Samar Husain. In Proceedings of the Workshop on 'Approaches to Language Variation', Delhi. 2019.
  • Are formal restrictions on crossing dependencies epiphenomenal? Himanshu Yadav, Samar Husain and Richard Futrell. In Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories, Paris. 2019.
  • Can Greenbergian universals be induced from language networks? Kartik Sharma, Kaivalya Swami, Aditya Shete and Samar Husain. In Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories, Paris. 2019.
  • Can Reducing Encoding-Based Interference Improve Predictions During Sentence Processing? Ishita Arun and Samar Husain. In Proceedings of the Sixth Annual conference of the Association for Cognitive Science in India (ACCS), Goa. 2019.
  • Local Coherence and Case-Marker Exchange Cause Parsing Errors in Hindi. Apurva and Samar Husain. In Proceedings of the Sixth Annual conference of the Association for Cognitive Science in India (ACCS), Goa. 2019.
  • Referential Context Effects on Hindi/Urdu Learners of Arabic are not Stronger than Syntactic Cues during Online Comprehension: Evidence for Deep Parsing. Sari Hamoud and Samar Husain. In Proceedings of the Sixth Annual conference of the Association for Cognitive Science in India (ACCS), Goa. 2019.
  • Cost of ungrammatical predictions during online comprehension. Apurva and Samar Husain. In Proceedings of the Psycholinguistics in Iceland -- Parsing and Prediction (PIPP) conference, Reykjavik. 2019.
  • Prediction failure and local coherence in a head-final language. Sakshi Bhatia and Samar Husain. In Proceedings of the Psycholinguistics in Iceland -- Parsing and Prediction (PIPP) conference, Reykjavik. 2019.
  • Cost of ungrammatical predictions during online sentence processing: evidence against surprisal. Apurva and Samar Husain. In Proceedings of the 32nd Annual CUNY Sentence Processing Conference, University of Colorado, Boulder. 2019.
  • Investigating Local Coherence Effects in Hindi. Sakshi Bhatia and Samar Husain. In Proceedings of the 9th meeting of Formal Approaches to South Asian Languages (FASAL-9), Portland. 2019.

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