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Testing the Predictions of Surprisal Theory in 11 Languages

Testing the Predictions of Surprisal Theory in 11 Languages

7 July 2023
Ethan Gotlieb Wilcox
Tiago Pimentel
Clara Meister
Ryan Cotterell
R. Levy
    LRM
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Papers citing "Testing the Predictions of Surprisal Theory in 11 Languages"

26 / 26 papers shown
Title
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
E. Wilcox
Cui Ding
Giovanni Acampa
Tiago Pimentel
Alex Warstadt
Tamar I. Regev
33
0
0
12 May 2025
Language Models at the Syntax-Semantics Interface: A Case Study of the Long-Distance Binding of Chinese Reflexive ziji
Language Models at the Syntax-Semantics Interface: A Case Study of the Long-Distance Binding of Chinese Reflexive ziji
Xiulin Yang
40
0
0
02 Apr 2025
Strategic resource allocation in memory encoding: An efficiency principle shaping language processing
Strategic resource allocation in memory encoding: An efficiency principle shaping language processing
Weijie Xu
Richard Futrell
55
1
0
18 Mar 2025
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Yiheng Yang
Yujie Wang
Chi Ma
Lei Yu
Emmanuele Chersoni
Chu-Ren Huang
79
0
0
26 Feb 2025
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
Xiulin Yang
Tatsuya Aoyama
Yuekun Yao
Ethan Wilcox
50
1
0
26 Feb 2025
Language Models Grow Less Humanlike beyond Phase Transition
Language Models Grow Less Humanlike beyond Phase Transition
Tatsuya Aoyama
Ethan Wilcox
46
1
0
26 Feb 2025
Learning to Write Rationally: How Information Is Distributed in
  Non-Native Speakers' Essays
Learning to Write Rationally: How Information Is Distributed in Non-Native Speakers' Essays
Zixin Tang
Janet G. van Hell
31
0
0
05 Nov 2024
Towards a Similarity-adjusted Surprisal Theory
Towards a Similarity-adjusted Surprisal Theory
Clara Meister
Mario Giulianelli
Tiago Pimentel
36
3
0
23 Oct 2024
Reverse-Engineering the Reader
Reverse-Engineering the Reader
Samuel Kiegeland
Ethan Gotlieb Wilcox
Afra Amini
David Robert Reich
Ryan Cotterell
23
0
0
16 Oct 2024
The Roles of Contextual Semantic Relevance Metrics in Human Visual
  Processing
The Roles of Contextual Semantic Relevance Metrics in Human Visual Processing
Kun Sun
Rong Wang
VLM
33
0
0
13 Oct 2024
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
Adam Nohejl
Frederikus Hudi
Eunike Andriani Kardinata
Shintaro Ozaki
Maria Angelica Riera Machin
Hongyu Sun
Justin Vasselli
Taro Watanabe
39
2
0
04 Oct 2024
Linear Recency Bias During Training Improves Transformers' Fit to
  Reading Times
Linear Recency Bias During Training Improves Transformers' Fit to Reading Times
Christian Clark
Byung-Doh Oh
William Schuler
39
3
0
17 Sep 2024
On the Role of Context in Reading Time Prediction
On the Role of Context in Reading Time Prediction
Andreas Opedal
Eleanor Chodroff
Ryan Cotterell
Ethan Gotlieb Wilcox
33
7
0
12 Sep 2024
Decomposition of surprisal: Unified computational model of ERP
  components in language processing
Decomposition of surprisal: Unified computational model of ERP components in language processing
Jiaxuan Li
Richard Futrell
28
1
0
10 Sep 2024
How to Compute the Probability of a Word
How to Compute the Probability of a Word
Tiago Pimentel
Clara Meister
34
14
0
20 Jun 2024
Leading Whitespaces of Language Models' Subword Vocabulary Poses a
  Confound for Calculating Word Probabilities
Leading Whitespaces of Language Models' Subword Vocabulary Poses a Confound for Calculating Word Probabilities
Byung-Doh Oh
William Schuler
27
14
0
16 Jun 2024
Language models emulate certain cognitive profiles: An investigation of
  how predictability measures interact with individual differences
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
Patrick Haller
Lena S. Bolliger
Lena Ann Jäger
39
1
0
07 Jun 2024
Revenge of the Fallen? Recurrent Models Match Transformers at Predicting
  Human Language Comprehension Metrics
Revenge of the Fallen? Recurrent Models Match Transformers at Predicting Human Language Comprehension Metrics
J. Michaelov
Catherine Arnett
Benjamin Bergen
34
3
0
30 Apr 2024
Computational Sentence-level Metrics Predicting Human Sentence
  Comprehension
Computational Sentence-level Metrics Predicting Human Sentence Comprehension
Kun Sun
Rong Wang
46
0
0
23 Mar 2024
Frequency Explains the Inverse Correlation of Large Language Models'
  Size, Training Data Amount, and Surprisal's Fit to Reading Times
Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times
Byung-Doh Oh
Shisen Yue
William Schuler
53
15
0
03 Feb 2024
Predicting Human Translation Difficulty with Neural Machine Translation
Predicting Human Translation Difficulty with Neural Machine Translation
Zheng Wei Lim
Ekaterina Vylomova
Charles Kemp
Trevor Cohn
32
0
0
19 Dec 2023
Temperature-scaling surprisal estimates improve fit to human reading
  times -- but does it do so for the "right reasons"?
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?
Tong Liu
Iza vSkrjanec
Vera Demberg
48
5
0
15 Nov 2023
Psychometric Predictive Power of Large Language Models
Psychometric Predictive Power of Large Language Models
Tatsuki Kuribayashi
Yohei Oseki
Timothy Baldwin
LM&MA
29
3
0
13 Nov 2023
Words, Subwords, and Morphemes: What Really Matters in the
  Surprisal-Reading Time Relationship?
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
Sathvik Nair
Philip Resnik
30
10
0
26 Oct 2023
Context Limitations Make Neural Language Models More Human-Like
Context Limitations Make Neural Language Models More Human-Like
Tatsuki Kuribayashi
Yohei Oseki
Ana Brassard
Kentaro Inui
44
29
0
23 May 2022
A surprisal--duration trade-off across and within the world's languages
A surprisal--duration trade-off across and within the world's languages
Tiago Pimentel
Clara Meister
Elizabeth Salesky
Simone Teufel
Damián E. Blasi
Ryan Cotterell
LRM
119
29
0
30 Sep 2021
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