Tal Linzen

Assistant Professor
Colloquium Planning Co-Chair

Krieger 243 | Krieger 113 (lab)
410-516-5331 | 410-516-5745 (lab)
Curriculum Vitae
Personal Website
Group/Lab Website
Google Scholar Profile


Human sentence comprehension is remarkably effective: we can reconstruct the structure of a sentence and extract its meaning with little perceptible delay. I study the representations and processes that make this feat possible, using human experiments (behavioral and neural) as well as computational simulations. I am also interested in using ideas from psycholinguistics to understand the strengths and limitations of artificial intelligence systems (in particular, artificial neural networks), with the goal of bringing their linguistic abilities closer to human levels.

Before joining Johns Hopkins, I was a postdoctoral researcher at Ecole Normale Supérieure in Paris. My degrees are a B.Sc. in Mathematics and Linguistics and an M.A. in Linguistics, both from Tel Aviv University, and a Ph.D. in Linguistics from New York University.

  • AS.050.101 Cognition
  • AS.050.333/633 Psycholinguistics
  • AS.050.360/660 Computational Psycholinguistics
  • AS.050.819 Research Seminar in Psycholinguistics​

Displaying the 20 most recent publications. View the Google Scholar Profile for complete publications list.

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L Gwilliams, D Poeppel, A Marantz, T Linzen
Phonological (un) certainty weights lexical activation
arXiv preprint arXiv:1711.06729, 2017

E Enguehard, Y Goldberg, T Linzen
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
arXiv preprint arXiv:1706.03542, 2017

G Le Godais, T Linzen, E Dupoux
Comparing Character-level Neural Language Models Using a Lexical Decision Task
EACL 2017, 125, 2017

L Gwilliams, T Linzen, D Poeppel, A Marantz
In spoken word recognition the future predicts the past
bioRxiv, 150151, 2017

T Linzen, N Siegelman, L Bogaerts
Prediction and uncertainty in an artificial language

T Linzen, E Dupoux, Y Goldberg
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Transactions of the Association for Computational Linguistics, 2016

E Shetreet, T Linzen, N Friedmann
Against all odds: exhaustive activation in lexical access of verb complementation options
Language, Cognition and Neuroscience 31 (9), 1206-1214, 2016

A Ettinger, T Linzen
Evaluating vector space models using human semantic priming results
Proceedings of the 1st Workshop on Evaluating Vector Space Representations …, 2016

T Linzen, TF Jaeger
Uncertainty and expectation in sentence processing: evidence from subcategorization distributions
Cognitive science 40 (6), 1382-1411, 2016

T Linzen
Issues in evaluating semantic spaces using word analogies
arXiv preprint arXiv:1606.07736, 2016

T Linzen, E Dupoux, B Spector
Quantificational features in distributional word representations
Proceedings of the Fifth Joint Conference on Lexical and Computational …, 2016

T Linzen, Y Oseki
The reliability of acceptability judgments across languages
New York: New York University, ms, 2015

M Gouskova, T Linzen
Morphological conditioning of phonological regularization
The Linguistic Review 32 (3), 427-473, 2015

T Linzen, G Gallagher
Rapid generalization in phonotactic learning

J Fruchter, T Linzen, M Westerlund, A Marantz
Lexical Preactivation in Basic Linguistic Phrases
Journal of Cognitive Neuroscience, 2015

T Linzen
Probabilistic linguistic representations: Between learning and processing

T Linzen
The diminishing role of inalienability in the Hebrew possessive dative
Corpus Linguistics and Linguistic Theory, 2015

M Ariel, E Dattner, JW Du Bois, T Linzen
Pronominal datives: The royal road to argument status
Studies in Language 39 (2), 257-321, 2015

T Linzen, T O'Donnell
A model of rapid phonotactic generalization.
EMNLP, 1126-1131, 2015

T Linzen, TF Jaeger
Investigating the role of entropy in sentence processing
Proceedings of the Fifth Workshop on Cognitive Modeling and Computational …, 2014