Computational linguistics

Computational linguistics at UMass Amherst involves the application of computational methods and theory to the study of linguistics, and the development of computational theories of language learning and language processing. The faculty in this area are part of a broader community of researchers studying computation and language at the 5 Colleges, which along with computational linguistics also includes research in natural language processing and information retrieval.

Faculty

Michael Becker
michael@linguist.umass.edu		BeckerResearch interests:
Phonology, computational and experimental morphophonology, fieldwork, Semitic
Rajesh Bhatt
bhatt@linguist.umass.edu		BhattResearch interests:
Syntax, Semantics, Tree Adjoining Grammars, South Asian Languages
Brian Dillon
brian@linguist.umass.edu		DillonResearch interests:
Psycholinguistics, Syntax
Gaja Jarosz
jarosz@linguist.umass.edu		JaroszResearch interests:
Phonology, Learnability, Computational Modeling, Acquisition
Joe Pater
pater@linguist.umass.edu		PaterResearch interests:
Phonological Theory and Learning, Computational and Experimental Methods
Kristine Yu
krisyu@linguist.umass.edu		YuResearch interests:
Prosody from the Speech Signal on Up, Phonetics, Phonology

Graduate students

Cerys Hughes
ceryshughes@umass.edu		SongResearch interests:
Computational Modeling, Phonology		Year started:
2020
Seoyoung Kim
seoyoungkimk@umass.edu		KimResearch interests:
Computational phonology, Fieldwork		Year started:
2019
Andrew Lamont
alamont@linguist.umass.edu		LamontResearch interests:
Phonology, typology, computational linguistics		Year started:
2016
Seoyoung Kim
seoyoungkimk@umass.edu		KimResearch interests:
Computational phonology, Fieldwork		Year started:
2019
Seung Suk (Josh) Lee
seungsuklee@umass.edu		LeeResearch interests:
Phonetics, Phonology and Computational Linguistics		Year started:
2019
Max Nelson
manelson@umass.edu		NelsonResearch interests:
Computational Linguistics, Phonology, Learnability		Year started:
2017
Alex Nyman
anyman@umass.edu		NymanResearch interests:
Learnability and formal language theory		Year started:
2018
Yixiao Song
yixiaosong@umass.edu		SongResearch interests:
Computational Linguistics and Semantics		Year started:
2019

Recent dissertations

Caroline Anderson. 2021. Shifting the Perspectival Landscape: Methods for Encoding, Identifying, and Selecting Perspectives.

Brandon Prickett. 2021. Learning phonology with sequence-to-sequence neural networks.

Coral Hughto. 2019. Emergent typological effects of agent-based learning models in Maximum Entropy Grammar.

Claire Moore-Cantwell. 2016. The representation of probabilistic phonological patterns: Neurological, behavioral, and computational evidence from the English stress system.

Aleksei Nazarov. 2016. Extending Hidden Structure: Features, Opacity, and Exceptions.

Presley Pizzo. 2015. Investigating Properties of Phonotactic Knowledge Through Web-Based Experimentation.

Robert Staubs, 2014. Computational Modeling of Learning Biases in Stress Typology.