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About

I am a postdoctoral researcher working with Philip Resnik at the University of Maryland, College Park.

I received my Ph.D in Linguistics from Cornell University in 2019 with John Hale as my advisor. My dissertation explored noncompositionality and argument structure from a neurolinguistic perspective by using various tools from computational linguistics.

Before Cornell, I received my A.B. from Bryn Mawr College and graduated with a major in Linguistics (Hons) and minors in Computer Science and Chinese. My name is pronounced /ʃoʊhiniː bhɔʈʈoʃaliː/.

[curriculum vitae]    [research]    [teaching]

Research

I apply computational models to neuroimaging data in order to understand the physical basis of language comprehension. This research brings together computational linguistics and neurolinguistics and it involves interfaces between linguistic theory, language processing, cognitive science, and neuroscience. My past projects have involved finite-state phonology and corpus studies.

Current Projects

Processing Multiword Expressions

This project looks into how our brain processes noncompositional phrases in English and French using data from a fMRI experiment. Based on this neuroimaging data, we are investigating how this corroborates current neurocognitive models of language processing.

Verbal Argument Structure

This project looks into argument structure relations and its neural correlates. Through a fMRI experiment, we study the role of verbs in sentence processing.

Past Projects:

Acquiring Multiple Language SPOC

This online edX module is designed towards a better understanding about bilingualism and challenges, myths, and benefits associated with it as seen through various language acquisition and developmental psychology studies. This project was in colloboration with Barbara Lust, Carissa Kang, and María del Mar Guttiérez.
[link]

Finite State Machines & Computational Phonology

I worked on a research project to train a finite state model to detect phonological cues in a speech corpus using a ASR toolkit. These models were able to detect different types of phenomenon (e.g., word-level stress patterns in Bengali and lenition effects in Korean) and provided empirical evidence about phonological patterns in these languages.

Recent Publications:

Modeling Conventionalization and Predictability in Multiword Expressions at the Brain level
Shohini Bhattasali, Murielle Popa-Fabre, John Hale, Christophe Pallier
Proceedings of the Society for Computation in Linguistics (SCiL 2020)
New Orleans, LA. Jan 2 - 5, 2020.

Diathesis Alternations and Selectional Restrictions in Sentence Processing: A fMRI Study
Shohini Bhattasali, John Hale
Proceedings of the 55th Meeting of the Chicago Linguistic Society (CLS 55)
Chicago, IL. May 16 - 18, 2019.
[paper to appear] [slides]

Localising Memory Retrieval and Syntactic Composition: A fMRI study of Naturalistic Language Comprehension
Shohini Bhattasali, Murielle Fabre, Wen-Ming Luh, Hazem Al Saied, Mathieu Constant, Christophe Pallier, Jonathan Brennan, R. Nathan Spreng, John Hale
Language, Cognition and Neuroscience, 34:4, 491-510.
[doi: 10.1080/23273798.2018.1518533]

Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs
Shohini Bhattasali, Murielle Fabre, John Hale
Proceeding of the 14th Workshop on Multiword Expressions (COLING 2018)
Santa Fe, NM. August 25 - 26, 2018.
[paper] [slides]

Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain
Shohini Bhattasali, John Hale, Christophe Pallier, Jonathan R. Brennan, Wen-Ming Luh, R. Nathan Spreng.
Proceedings of the Society for Computation in Linguistics (SCiL 2018)
Salt Lake City, UT. January 4 - 7, 2018.
[paper] [poster]

Recent Presentations:

Right Lateralization of Verbal Collocations
Shohini Bhattasali, Murielle Fabre, John Hale
24th Architectures and Mechanisms of Language Processing conference (AMLaP 2018)
Berlin, Germany. September 6 - 8, 2018.
[abstract] [poster]

Break the ice vs. boa constrictors: Do they have different neural bases?
Shohini Bhattasali, Murielle Fabre, John Hale
10th Annual Meeting of the Society for the Neurobiology of Language (SNL 2018)
Québec City, Canada. August 16 - 18, 2018.
[poster]

Dissociating prediction and constituent-structure during sentence-structure building
Murielle Fabre, Shohini Bhattasali, John Hale, Christophe Pallier
10th Annual Meeting of the Society for the Neurobiology of Language (SNL 2018)
Québec City, Canada. August 16 - 18, 2018.
[poster]

Brain imaging of lexical cohesiveness and sentence-structure building
Murielle Fabre, Shohini Bhattasali, Hazem Al Saied, Mathieu Constant, Christophe Pallier, Wen-Ming Luh, John Hale
Collaborative Research in Computational Neuroscience (CRCNS 2018)
Berkeley, CA. June 13 - 15, 2018.
[slides]

Mapping Memory Retrieval and Structure in the Brain
Shohini Bhattasali, Murielle Fabre, John Hale, Hazem Al Saied, Mathieu Constant
31st Annual CUNY Sentence Processing Conference (CUNY 2018)
UC Davis, CA. March 15 - 17, 2018.
[poster]

Localizing Structure-building and Memory Retrieval in Naturalistic Language Comprehension
John Hale, Shohini Bhattasali, Jonathan Brennan, Jixing Li, Wen-Ming Luh, Christophe Pallier, R. Nathan Spreng.
9th Annual Meeting of the Society for the Neurobiology of Language (SNL 2017)
Baltimore, MD. November 8 - 10, 2017.
[poster]

Neuroimaging the language network with a parsing algorithm
John Hale, Jonathan Brennan, Shohini Bhattasali, Wen-Ming Luh, Christophe Pallier.
Collaborative Research in Computational Neuroscience (CRCNS 2017)
Providence, RI. June 14 - 16, 2017.
[poster]

Talks:

Verbs in Sentence Processing: Subcategorization & Selectional Restrictions
Shohini Bhattasali
Cognitive Science Grad Student Info Blitz
Cornell University. May 8, 2019

Processing Multiword Expressions & Verbal Argument Structure: A fMRI study
Shohini Bhattasali
Invited talk, Cognitive Neuroscience of Language
University of Maryland. February 22, 2019.

Differentiating Structure Building & Memory Retrieval in natural language using MWEs
Shohini Bhattasali
Cognitive Science Grad Student Info Blitz
Cornell University. May 10, 2018.

Neural Bases of Discourse Comprehension
Shohini Bhattasali
Guest lecture, LING 2264: Language, Mind, and Brain
Cornell University. May 3, 2018.

Sense & Reference: Introduction to Semantics
Shohini Bhattasali
Guest lecture, LING 3303: Introduction to Syntax and Semantics
Cornell University. October 30, 2017.

Localization of composition and memory in natural language using fMRI data
Shohini Bhattasali.
Cognitive Science Grad Student Info Blitz
Cornell University. May 11, 2017.

Processing MWEs: A Neurolinguistic Approach
Shohini Bhattasali.
Linguistics Graduate Research Workshop Presentations.
Cornell University. May 4, 2017.

Finite-state Approach to Bengali Stress
Shohini Bhattasali.
Linguistics Graduate Research Workshop Presentations.
Cornell University. May 18, 2016.

Teaching

Apart from teaching foundational linguistics courses, I have developed and been the sole instructor for writing seminars and have also taught introductory-level intensive language courses.

FALL 2019
Co-Instructor with Philip Resnik
LING 848: Seminar in Computational Linguistics
& Cognitive Neuroscience of Language
University of Maryland

SUMMER 2019
Co-Facilitator with Kate Navickas
WRIT 7100: Teaching Writing
Cornell University

SPRING 2018
Teaching Assistant
LING 4424: Computational Linguistics
Professor: Mats Rooth
Cornell University

FALL 2017
Teaching Assistant
LING 3303: Introduction to Syntax and Semantics
Professor: Miloje Despic
Cornell University

FALL 2016 & SPRING 2017
Teaching Assistant
HINDI 1101/2: Elementary Hindi
Professor: Sujata Singh
Cornell University

FALL 2015 & SPRING 2016
Instructor, First-Year Writing Seminar
LING 1101: Translation & Writing
Cornell University

FALL 2013
Undergraduate Teaching Assistant
LING 325: Introduction to Computational Linguistics
Professor: Deepak Kumar
Bryn Mawr College

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