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A Probabilistic Earley Parser as a Psycholinguistic Model
John Hale
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Paper Details:
Year: 2001
Venue:
NAACL |
Citations
URL
Reading-Time Annotations for “Balanced Corpus of Contemporary Written Japanese”
Masayuki Asahara
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Hajime Ono
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Edson T. Miyamoto
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Modeling Diachronic Change in Scientific Writing with Information Density
Raphael Rubino
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Stefania Degaetano-Ortlieb
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Elke Teich
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Josef van Genabith
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Deriving lexical and syntactic expectation-based measures for psycholinguistic modeling via incremental top-down parsing
Brian Roark
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Asaf Bachrach
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Carlos Cardenas
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Christophe Pallier
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A Model of Discourse Predictions in Human Sentence Processing
Amit Dubey
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Frank Keller
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Patrick Sturt
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Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
Vera Demberg
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Asad Sayeed
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Philip Gorinski
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Nikolaos Engonopoulos
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Modeling Human Reading with Neural Attention
Michael Hahn
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Frank Keller
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Is this Sentence Difficult? Do you Agree?
Dominique Brunato
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Lorenzo De Mattei
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Felice Dell’Orletta
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Benedetta Iavarone
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Giulia Venturi
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A Neural Model of Adaptation in Reading
Marten van Schijndel
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Tal Linzen
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Lexical surprisal as a general predictor of reading time
Irene Fernandez Monsalve
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Stefan L. Frank
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Gabriella Vigliocco
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Noisy-context surprisal as a human sentence processing cost model
Richard Futrell
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Roger Levy
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A Computational Model of Human Preferences for Pronoun Resolution
Olga Seminck
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Pascal Amsili
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Between Reading Time and Syntactic/Semantic Categories
Masayuki Asahara
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Sachi Kato
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Incremental Prediction of Sentence-final Verbs: Humans versus Machines
Alvin Grissom II
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Naho Orita
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Jordan Boyd-Graber
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A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs
Klinton Bicknell
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Roger Levy
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An Analysis of Frequency- and Memory-Based Processing Costs
Marten van Schijndel
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William Schuler
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Shared common ground influences information density in microblog texts
Gabriel Doyle
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Michael Frank
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Hierarchic syntax improves reading time prediction
Marten van Schijndel
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William Schuler
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Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification
Raphael Rubino
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Ekaterina Lapshinova-Koltunski
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Josef van Genabith
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Assessing Language Proficiency from Eye Movements in Reading
Yevgeni Berzak
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Boris Katz
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Roger Levy
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Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese
Meilin Zhan
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Roger Levy
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A Finite-State Model of Human Sentence Processing
Jihyun Park
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Chris Brew
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Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
Amit Dubey
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Frank Keller
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Patrick Sturt
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Surprising Parser Actions and Reading Difficulty
Marisa Ferrara Boston
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John T. Hale
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Reinhold Kliegl
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Shravan Vasishth
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Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure
Jeff Mitchell
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Mirella Lapata
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Vera Demberg
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Frank Keller
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A Rational Model of Eye Movement Control in Reading
Klinton Bicknell
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Roger Levy
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The Influence of Discourse on Syntax: A Psycholinguistic Model of Sentence Processing
Amit Dubey
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Complexity Metrics in an Incremental Right-Corner Parser
Stephen Wu
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Asaf Bachrach
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Carlos Cardenas
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William Schuler
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Cognitively Plausible Models of Human Language Processing
Frank Keller
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Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results
Roger Levy
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Word surprisal predicts N400 amplitude during reading
Stefan L. Frank
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Leun J. Otten
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Giulia Galli
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Gabriella Vigliocco
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Vector-space calculation of semantic surprisal for predicting word pronunciation duration
Asad Sayeed
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Stefan Fischer
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Vera Demberg
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An Efficient Algorithm to Induce Minimum Average Lookahead Grammars for Incremental LR Parsing
Dekai Wu
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Yihai Shen
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The Interaction of Syntactic Theory and Computational Psycholinguistics
Frank Keller
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HHMM Parsing with Limited Parallelism
Tim Miller
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William Schuler
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The Role of Memory in Superiority Violation Gradience
Marisa Ferrara Boston
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Modeling the Noun Phrase versus Sentence Coordination Ambiguity in Dutch: Evidence from Surprisal Theory
Harm Brouwer
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Hartmut Fitz
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John Hoeks
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Uncertainty Reduction as a Measure of Cognitive Processing Effort
Stefan Frank
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Classification of Atypical Language in Autism
Emily T. Prud’hommeaux
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Brian Roark
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Lois M. Black
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Jan van Santen
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A Survival Analysis of Fixation Times in Reading
Mattias Nilsson
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Joakim Nivre
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Connectionist-Inspired Incremental PCFG Parsing
Marten van Schijndel
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Andy Exley
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William Schuler
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Sequential vs. Hierarchical Syntactic Models of Human Incremental Sentence Processing
Victoria Fossum
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Roger Levy
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An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing
Marten van Schijndel
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Luan Nguyen
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William Schuler
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On the Information Conveyed by Discourse Markers
Fatemeh Torabi Asr
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Vera Demberg
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Incremental Grammar Induction from Child-Directed Dialogue Utterances
Arash Eshghi
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Julian Hough
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Matthew Purver
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Challenging incrementality in human language processing: two operations for a cognitive architecture
Philippe Blache
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An eye-tracking evaluation of some parser complexity metrics
Matthew J. Green
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Surprisal as a Predictor of Essay Quality
Gaurav Kharkwal
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Smaranda Muresan
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evision PDF of 'Sentence Processing in a Vectorial Model of Working Memory
William Schuler
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Evidence of syntactic working memory usage in MEG data
Marten van Schijndel
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Brian Murphy
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William Schuler
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Modeling fMRI time courses with linguistic structure at various grain sizes
John Hale
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David Lutz
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Wen-Ming Luh
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Jonathan Brennan
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Evaluating Models of Computation and Storage in Human Sentence Processing
Thang Luong
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Timothy O’Donnell
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Noah Goodman
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Information-based Modeling of Diachronic Linguistic Change: from Typicality to Productivity
Stefania Degaetano-Ortlieb
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Elke Teich
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Towards a Distributional Model of Semantic Complexity
Emmanuele Chersoni
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Philippe Blache
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Alessandro Lenci
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Testing the Processing Hypothesis of word order variation using a probabilistic language model
Jelke Bloem
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Temporal Lobes as Combinatory Engines for both Form and Meaning
Jixing Li
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Jonathan Brennan
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Adam Mahar
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John Hale
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Quantifying sentence complexity based on eye-tracking measures
Abhinav Deep Singh
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Poojan Mehta
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Samar Husain
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Rajkumar Rajakrishnan
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Entropy Reduction correlates with temporal lobe activity
Matthew Nelson
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Stanislas Dehaene
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Christophe Pallier
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John Hale
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Using Gaze to Predict Text Readability
Ana Valeria González-Garduño
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Anders Søgaard
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Coreference and Focus in Reading Times
Evan Jaffe
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Cory Shain
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William Schuler
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Predictive power of word surprisal for reading times is a linear function of language model quality
Adam Goodkind
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Klinton Bicknell
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Dynamic encoding of structural uncertainty in gradient symbols
Pyeong Whan Cho
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Matthew Goldrick
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Richard L. Lewis
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Paul Smolensky
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Uniform Information Density Effects on Syntactic Choice in Hindi
Ayush Jain
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Vishal Singh
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Sidharth Ranjan
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Rajakrishnan Rajkumar
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Sumeet Agarwal
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What do RNN Language Models Learn about Filler–Gap Dependencies?
Ethan Wilcox
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Roger Levy
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Takashi Morita
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Richard Futrell
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Can Entropy Explain Successor Surprisal Effects in Reading?
Marten van Schijndel
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Tal Linzen
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Do RNNs learn human-like abstract word order preferences?
Richard Futrell
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Roger P. Levy
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Between Reading Time and Information Structure
Masayuki Asahara
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http://www.cis.upenn.edu/~
Field Of Study
Linguistic Trends
Psycholinguistics
Task
Computational Psycholinguistics
Language
English
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