Michael Hahn
Michael Hahn
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Cited by
Theoretical limitations of self-attention in neural sequence models
M Hahn
Transactions of the Association for Computational Linguistics 8, 156-171, 2020
Universals of word order reflect optimization of grammars for efficient communication
M Hahn, D Jurafsky, R Futrell
Proceedings of the National Academy of Sciences 117 (5), 2347-2353, 2020
Modeling human reading with neural attention
M Hahn, F Keller
arXiv preprint arXiv:1608.05604, 2016
RNNs can generate bounded hierarchical languages with optimal memory
J Hewitt, M Hahn, S Ganguli, P Liang, CD Manning
arXiv preprint arXiv:2010.07515, 2020
An Information-Theoretic Explanation of Adjective Ordering Preferences.
M Hahn, J Degen, ND Goodman, D Jurafsky, R Futrell
CogSci, 2018
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
N Ott, R Ziai, M Hahn, D Meurers
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
Evaluating the meaning of answers to reading comprehension questions: A semantics-based approach
M Hahn, D Meurers
Proceedings of the Seventh Workshop on Building Educational Applications …, 2012
A resource-rational model of human processing of recursive linguistic structure
M Hahn, R Futrell, R Levy, E Gibson
Proceedings of the National Academy of Sciences 119 (43), e2122602119, 2022
A theory of emergent in-context learning as implicit structure induction
M Hahn, N Goyal
arXiv preprint arXiv:2303.07971, 2023
Modeling word and morpheme order in natural language as an efficient trade-off of memory and surprisal.
M Hahn, J Degen, R Futrell
Psychological Review 128 (4), 726, 2021
Modeling Task Effects in Human Reading with Neural Network-based Attention
M Hahn, F Keller
arXiv preprint arXiv:1808.00054, 2018
Tabula Nearly Rasa: Probing the Linguistic Knowledge of Character-level Neural Language Models Trained on Unsegmented Text
M Hahn, M Baroni
Transactions of the Association for Computational Linguistics 7, 467-484, 2019
Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality
M Hahn, Y Xu
Proceedings of the National Academy of Sciences 119 (24), e2122604119, 2022
Sensitivity as a complexity measure for sequence classification tasks
M Hahn, D Jurafsky, R Futrell
Transactions of the Association for Computational Linguistics 9, 891-908, 2021
Estimating predictive rate–distortion curves via neural variational inference
M Hahn, R Futrell
Entropy 21 (7), 640, 2019
Information theory as a bridge between language function and language form
R Futrell, M Hahn
Frontiers in Communication 7, 657725, 2022
Word order variation in Khoekhoe
M Hahn
Proceedings of the 20th International Conference on Head-Driven Phrase …, 2013
A unifying theory explains seemingly contradictory biases in perceptual estimation
M Hahn, XX Wei
Nature Neuroscience 27 (4), 793-804, 2024
Visibly Counter Languages and the Structure of
M Hahn, A Krebs, KJ Lange, M Ludwig
International Symposium on Mathematical Foundations of Computer Science, 384-394, 2015
An information-theoretic characterization of morphological fusion
N Rathi, M Hahn, R Futrell
An Information-Theoretic Characterization of Morphological Fusion, 2021
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