Papers

2026

  1. Thomas Hikaru Clark, Roger P. Levy, and Edward Gibson. 2026. Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences. In Proceedings of the 30th Conference on Computational Natural Language Learning, pages 435–451, San Diego, California, USA. Association for Computational Linguistics.
  2. Thomas Hikaru Clark, Roger P. Levy, and Edward Gibson. 2026. We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference. In Third Conference on Language Modeling.
  3. Jennifer Hu, Ethan Gotlieb Wilcox, Siyuan Song, Kyle Mahowald, and Roger P. Levy. 2026. What Can String Probability Tell Us About Grammaticality? Transactions of the Association for Computational Linguistics, 14:124–146.
  4. James A. Michaelov and Roger P. Levy. 2026. N-gram-like Language Models Predict Naturalistic Reading Time Best. In Proceedings of the 48th Annual Meeting of the Cognitive Science Society.
  5. Yingshan Susan Wang, Linlu Qiu, Zhaofeng Wu, Roger P. Levy, and Yoon Kim. 2026. Implicit Representations of Grammaticality in Language Models. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15035–15055, San Diego, California, United States. Association for Computational Linguistics.
  6. Stephan C. Meylan, Roger P. Levy, and Elika Bergelson. 2026. Children’s Expressive and Receptive Knowledge of the English Regular Plural. Developmental Psychology, 62(5):986–1000.

2025

  1. Helena Aparicio, Roger P. Levy, and Elizabeth Coppock. 2025. Beware of referential garden paths! The dangerous allure of semantic parses that succeed locally but globally fail. Glossa Psycholinguistics, 4(1):1–54.
  2. Yevgeni Berzak, Jonathan Malmaud, Omer Shubi, Yoav Meiri, Ella Lion, and Roger Levy. 2025. OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes. Scientific Data, 12(1):1995.
  3. Alicia M. Chen, Matthias Hofer, Moshe Poliak, Roger Levy, and Noga Zaslavsky. 2025. Discrete and systematic communication in a continuous signal-meaning space. Journal of Language Evolution, 10(1):1–13.
  4. Thomas Hikaru Clark, Jacob Hoover Vigly, Edward Gibson, and Roger P. Levy. 2025. Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 23648–23661, Suzhou, China. Association for Computational Linguistics.
  5. Thomas Hikaru Clark, Jacob Hoover Vigly, Edward Gibson, and Roger P. Levy. 2025. A Model of Approximate and Incremental Noisy-Channel Language Processing. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society, pages 1211–1218.
  6. Kuan-Jung Huang, Roger Levy, and Yi Ting Huang. 2025. Surprisal and developmental sentence processing: exploring the role of language exposure through neural language models. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society.
  7. Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi U. Kumar, Setayesh Radkani, Thomas H. Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan G. Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua Tenenbaum, et al. 2025. Elements of World Knowledge ( EWoK ): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models. Transactions of the Association for Computational Linguistics, 13:1245–1270.
  8. Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, and Roger P. Levy. 2025. Finding structure in logographic writing with library learning II: Grapheme, sound, and meaning systematicity. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society.
  9. Daria Kryvosheieva and Roger Levy. 2025. Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models. In Proceedings of the First Workshop on Language Models for Low-Resource Languages, pages 402–413, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
  10. Thomas A. Langlois, Roger P. Levy, Nidhi Seethapathi, and Noga Zaslavsky. 2025. Efficient compression in locomotion verbs across languages. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society, pages 2616–2622.
  11. James A. Michaelov, Roger P. Levy, and Benjamin K. Bergen. 2025. Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale. In Advances in Neural Information Processing Systems, volume 38, pages 102407–102447.
  12. Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, and Roger P. Levy. 2025. On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 19924–19946, Suzhou, China. Association for Computational Linguistics.
  13. Mycal Tucker, Julie Shah, Roger P. Levy, and Noga Zaslavsky. 2025. Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity. Open Mind, 9:418–451.
  14. Yuhan Zhang, Carina Kauf, Roger P. Levy, and Edward Gibson. 2025. Comparative illusions are evidence of rational inference in language comprehension. Journal of Experimental Psychology: General, 154(10):2752–2771.

2024

  1. Canaan Breiss, Alexis Ross, Amani Maina-Kilaas, Roger Levy, and Jacob Andreas. 2024. Learning Phonotactics from Linguistic Informants. In Proceedings of the Society for Computation in Linguistics 2024, pages 20–31, Irvine, CA. Association for Computational Linguistics.
  2. Thomas Hikaru Clark, Edward Gibson, and Roger Levy. 2024. Inferring errors and intended meanings with a generative model of language production in aphasia. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society.
  3. Eleonora Gualdoni, Mycal Tucker, Roger Levy, and Noga Zaslavsky. 2024. Bridging semantics and pragmatics in information-theoretic emergent communication. In Advances in Neural Information Processing Systems, volume 37, pages 21059–21078. Curran Associates, Inc.
  4. Jennifer Hu, Kyle Mahowald, Gary Lupyan, Anna Ivanova, and Roger P. Levy. 2024. Language models align with human judgments on key grammatical constructions. Proceedings of the National Academy of Sciences, 121(36):e2400917121.
  5. Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, and Roger P. Levy. 2024. Finding structure in logographic writing with library learning. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society.
  6. Alessandro Lopopolo, Evelina Fedorenko, Roger Levy, and Milena Rabovsky. 2024. Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain. Neurobiology of Language, 5(1):1–6.
  7. Emily Morgan and Roger Levy. 2024. Productive knowledge and item-specific knowledge trade off as a function of frequency in multiword expression processing. Language, 100(4):e195–e224.
  8. Subha Nawer Pushpita and Roger P. Levy. 2024. Image-conditioned human language comprehension and psychometric benchmarking of visual language models. In Proceedings of the 28th Conference on Computational Natural Language Learning, pages 447–457, Miami, FL, USA. Association for Computational Linguistics.
  9. Cory Shain, Clara Meister, Tiago Pimentel, Ryan Cotterell, and Roger Levy. 2024. Large-Scale Evidence for Logarithmic Effects of Word Predictability on Reading Time. Proceedings of the National Academy of Sciences, 121(10):e2307876121.
  10. Sophia Zhi, Roger Levy, and Stephan C. Meylan. 2024. Multimodal Input Aids a Bayesian Model of Phonetic Learning. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society.
  11. Carina Kauf, Greta Tuckute, Roger Levy, Jacob Andreas, and Evelina Fedorenko. 2024. Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network. Neurobiology of Language, 5(1):7–42.
  12. Ethan Gotlieb Wilcox, Richard Futrell, and Roger Levy. 2024. Using Computational Models to Test Syntactic Learnability. Linguistic Inquiry, 55(4):805–848.

2023

  1. Matthias Hofer, Simon Kirby, and Roger Levy. 2023. Simplicity and Informativeness in the Evolution of Combinatorial Structure. In Proceedings of the 45th Annual Meeting of the Cognitive Science Society.
  2. Meilin Zhan, Sihan Chen, Roger Levy, Jiayi Lu, and Edward Gibson. 2023. Rational Sentence Interpretation in Mandarin Chinese. Cognitive Science, 47(12):e13383.
  3. Jennifer Hu and Roger Levy. 2023. Prompting is not a substitute for probability measurements in large language models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5040–5060. Association for Computational Linguistics.
  4. Jon Gauthier and Roger Levy. 2023. The neural dynamics of word recognition and integration. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 980–995. Association for Computational Linguistics.
  5. Theo Olausson, Alex Gu, Ben Lipkin, Cedegao Zhang, Armando Solar-Lezama, Joshua Tenenbaum, and Roger Levy. 2023. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5153–5176. Association for Computational Linguistics.
  6. Ethan G. Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, and Roger P. Levy. 2023. Testing the Predictions of Surprisal Theory in 11 Languages. Transactions of the Association for Computational Linguistics, 11:1451–1470.
  7. Jennifer Hu, Roger Levy, Judith Degen, and Sebastian Schuster. 2023. Expectations over Unspoken Alternatives Predict Pragmatic Inferences. Transactions of the Association for Computational Linguistics, 11:885–901.
  8. Tiago Pimentel, Clara Meister, Ethan G. Wilcox, Roger P. Levy, and Ryan Cotterell. 2023. On the Effect of Anticipation on Reading Times. Transactions of the Association for Computational Linguistics, 11:1624–1642.
  9. Stephan C. Meylan, Ruthe Foushee, Nicole H. Wong, Elika Bergelson, and Roger P. Levy. 2023. How adults understand what young children say. Nature Human Behaviour, 7(12):2111–2125.
  10. Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, and Adina Williams. 2023. Language model acceptability judgements are not always robust to context. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6043–6063, Toronto, Canada. Association for Computational Linguistics. Outstanding Paper Award.
  11. Songlin Yang, Roger Levy, and Yoon Kim. 2023. Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5747–5766, Toronto, Canada. Association for Computational Linguistics.
  12. Kinan Martin, Jon Gauthier, Canaan Breiss, and Roger P. Levy. 2023. Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration. In Proceedings of Interspeech, pages 251–255.
  13. Yevgeni Berzak and Roger Levy. 2023. Eye Movement Traces of Linguistic Knowledge in Native and Non-Native Reading. Open Mind, 7:179–196.
  14. Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, and Roger Levy. 2023. A Cross-Linguistic Pressure for Uniform Information Density in Word Order. Transactions of the Association for Computational Linguistics, 11:1048–1065.
  15. Veronica Boyce and Roger P. Levy. 2023. A-maze of Natural Stories: Comprehension and surprisal in the Maze task. Glossa Psycholinguistics, 2(1):1–34.

2022

  1. Emmy Liu, Michael Henry Tessler, Nicole Dubosh, Katherine Hiller, and Roger Levy. 2022. Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback. In Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), pages 86–93, Seattle, WashingtonJuly. Association for Computational Linguistics.
  2. Tiwalayo Eisape, Vineet Gangireddy, Roger P. Levy, and Yoon Kim. 2022. Probing for Incremental Parse States in Autoregressive Language Models. In Findings of EMNLP 2022.
  3. Mycal Tucker, Roger P. Levy, Julie Shah, and Noga Zaslavsky. 2022. Trading off Utility, Informativeness, and Complexity in Emergent Communication. In Proceedings of NeurIPS 2022.
  4. Michael Hahn, Richard Futrell, Roger P. Levy, and Edward Gibson. 2022. A Resource-Rational Model of Human Processing of Recursive Linguistic Structure. Proceedings of the National Academy of Sciences, 119(43):e2122602119.
  5. Peng Qian, Edward Gibson, and Roger P. Levy. 2022. Rational Inference from Number Agreement Mismatch. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society.
  6. Clara Meister, Tiago Pimentel, Thomas Clark, Ryan Cotterell, and Roger Levy. 2022. Analyzing Wrap-Up Effects through an Information-Theoretic Lens. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, pages 20–28, Dublin, IrelandMay. Association for Computational Linguistics.
  7. Peng Qian and Roger Levy. 2022. Flexible Generation from Fragmentary Linguistic Input. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, pages 8176–8196, Dublin, IrelandMay. Association for Computational Linguistics.
  8. Thomas Hikaru Clark, Ethan Gotlieb Wilcox, Edward Gibson, and Roger P. Levy. 2022. Evidence for Availability Effects on Speaker Choice in the Russian Comparative Alternation. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society.
  9. Irene Zhou, Jennifer Hu, Roger P. Levy, and Noga Zaslavsky. 2022. Teasing apart models of pragmatics using optimal reference game design. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society.
  10. Yevgeni Berzak, Chie Nakamura, Amelia Smith, Emily Weng, Boris Katz, Suzanne Flynn, and Roger Levy. 2022. CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading. Open Mind:1–10, April.
  11. Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger P. Levy, and Julie Shah. 2022. When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. In Proceedings of the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
  12. Julian Jara-Ettinger, Roger P. Levy, Jeanette Sakel, Tomas Huanca, and Edward Gibson. 2022. The origins of the shape bias: Evidence from the Tsimane.’ Journal of Experimental Psychology: General, 151(10):2437–2447.

2021

  1. Yiwen Wang, Jennifer Hu, Roger Levy, and Peng Qian. 2021. Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 5604–5620, Online and Punta Cana, Dominican RepublicNovember. Association for Computational Linguistics.
  2. Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, and Roger Levy. 2021. Revisiting the Uniform Information Density Hypothesis. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 963–980, Online and Punta Cana, Dominican RepublicNovember. Association for Computational Linguistics.
  3. Helena Aparicio, Curtis Chen, Roger Levy, and Elizabeth Coppock. 2021. Granularity in the Semantics of Comparison. In Semantics and Linguistic Theory, volume 31, pages 550–569.
  4. Stephanie L. Smith, Beatha Nyirandagijimana, Janvier Hakizimana, Roger P. Levy, Robert Bienvenu, Anathalie Uwamwezi, Octavien Hakizimfura, Eugenie Uwimana, Priya Kundu, Egide Mpanumusingo, Alphonse Nshimyiryo, Christian Rusangwa, Fredrick Kateera, Hildegarde Mukasakindi, and Giuseppe J. Raviola. 2021. Evaluating the delivery of Problem Management Plus in primary care settings in rural Rwanda: A study protocol using a pragmatic randomized hybrid type 1 effectiveness-implementation design. BMJ Open, 11:e054630.
  5. Jennifer Hu, Roger Levy, and Noga Zaslavsky. 2021. Scalable pragmatic communication via self-supervision. In Proceedings of the 2021 ICML Workshop on Self-Supervised Learning for Reasoning and Perception.
  6. Jiayuan Mao, Freda H. Shi, Jiajun Wu, Roger P. Levy, and Joshua B. Tenenbaum. 2021. Grammar-Based Grounded Lexicon Learning. In Proceedings of NeurIPS 2021.
  7. Leila Wehbe, Idan Asher Blank, Cory Shain, Richard Futrell, Roger Levy, Titus von der Malsburg, Nathaniel Smith, Edward Gibson, and Evelina Fedorenko. 2021. Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network. Cerebral Cortex:1–18, April.
  8. Mycal Tucker, Peng Qian, and Roger P. Levy. 2021. What if This Modified That? Syntactic Interventions with Counterfactual Embeddings. In Findings of the Association for Computationa Linguistics.
  9. Ethan Wilcox, Pranali Vani, and Roger P. Levy. 2021. A Targeted Assessment of Incremental Processing in Neural Language Models and Humans. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
  10. Peng Qian, Tahira Naseem, Roger Levy, and Ramón Fernandez Astudillo. 2021. Structural Guidance for Transformer Language Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
  11. Pranali Vani, Ethan Gotlieb Wilcox, and Roger P. Levy. 2021. Using the Interpolated Maze task to Assess Incremental Processing in English Relative Clauses. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
  12. Yevgeni Berzak and Roger P. Levy. 2021. Eye Movement Traces of Linguistic Knowledge. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
  13. Robert Chen, Roger P. Levy, and Tiwalayo Eisape. 2021. On Factors Influencing Typing Time: Analyzing TypeRacer’s Massive Open Access Dataset. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
  14. Stephan C. Meylan, Ruthe Foushee, Elika Bergelson, and Roger P. Levy. 2021. Child-directed Listening: How Caregiver Inference Enables Children’s Early Verbal Communication. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
  15. Jennifer Hu, Noga Zaslavsky, and Roger Levy. 2021. Competition from novel features drives scalar inferences in reference games. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
  16. Ethan Gotlieb Wilcox, Roger P. Levy, and Kathryn Davidson. 2021. Which Presuppositions are Subject to Contextual Felicity Constraints? In Nicole Dreier, Chloe Kwon, Thomas Darnell, and John Starr, editors, Proceedings of the 31st Conference on Semantics and Linguistic Theory, volume 31, pages 345–364.

2020

  1. Tristan Thrush, Ethan Gotlieb Wilcox, and Roger P. Levy. 2020. Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization. In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 265–275. November.
  2. Tiwalayo Eisape, Noga Zaslavsky, and Roger P. Levy. 2020. Cloze Distillation Improves Psychometric Predictive Power. In Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL), pages 609–619. November.
  3. Jonathan Malmaud, Roger P. Levy, and Yevgeni Berzak. 2020. Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. In Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL), pages 142–152.
  4. Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger P. Levy, and Miguel Ballesteros. 2020. Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
  5. Meilin Zhan, Roger Levy, and Andrew Kehler. 2020. Pronoun Interpretation in Mandarin Chinese follows principles of Bayesian inference. PLoS One, 15(8):1–42.
  6. Matthias Hofer, Tessa Verhoef, and Roger P. Levy. 2020. Hierarchical Generalizations Support Systematicity Inferences in the Lexicon. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pages 2398–2404.
  7. Abigail L. Tenenbaum, Mika Braginsky, and Roger P. Levy. 2020. Integrating Semantics Into Developmental Models of Morphology Learning. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pages 1700–1706.
  8. Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, and Roger P. Levy. 2020. On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pages 1707–1713.
  9. Michael Henry Tessler, Polina Tsvilodub, Jesse Snedeker, and Roger P. Levy. 2020. Informational goals, sentence structure, and comparison class inference. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pages 537–543.
  10. Stephan Meylan, Roger P. Levy, and Elika Bergelson. 2020. Children’s Expressive and Receptive Knowledge of the English Regular Plural. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, pages 2270–2276.
  11. Tiwalayo Eisape, Roger P. Levy, Joshua B. Tenenbaum, and Noga Zaslavsky. 2020. Toward Human-like Object Naming in Artificial Neural Systems. In Proceedings of the ICLR Workshop on Bridging AI and Cognitive Science (BAICS).
  12. Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, and Roger P. Levy. 2020. SyntaxGym: An Online Platform for Targeted Evaluation of Language Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 70–76.
  13. Yevgeni Berzak, Jonathan Malmaud, and Roger P. Levy. 2020. STARC: Structured Annotations for Reading Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 5726–5735.
  14. Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, and Roger P. Levy. 2020. A Systematic Assessment of Syntactic Generalization in Neural Language Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1725–1744.
  15. Richard Futrell, Roger P. Levy, and Edward Gibson. 2020. Dependency Locality as an explanatory principle for word order. Language, 96(2):371–412.
  16. Richard Futrell, Edward Gibson, and Roger P. Levy. 2020. Lossy-Context Surprisal: An information-theoretic model of memory effects in sentence processing. Cognitive Science, 44:1–54.
  17. Rachel Ryskin, Roger P. Levy, and Evelina Fedorenko. 2020. Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward. Neuropsychologia, 136:1–12.
  18. Jennifer Hu, Sherry Yong Chen, and Roger P. Levy. 2020. A closer look at the performance of neural language models on reflexive anaphor licensing. In Proceedings of the Society for Computation in Linguistics (SCiL) 2020, pages 382–392.
  19. Veronica Boyce, Richard Futrell, and Roger Levy. 2020. Maze Made Easy: Better and easier measurement of incremental processing difficulty. Journal of Memory and Language, 111:1–13.
  20. Titus von der Malsburg, Till Poppels, and Roger Levy. 2020. Implicit gender bias in linguistic descriptions for expected events: The cases of the 2016 US and 2017 UK elections. Psychological Science:1–14.
  21. Klinton Bicknell, Roger Levy, and Keith Rayner. 2020. Ongoing cognitive processing influences precise eye movement targets in reading. Psychological Science:1–12.
  22. Noga Zaslavsky, Jennifer Hu, and Roger P. Levy. 2020. A Rate–Distortion view of human pragmatic reasoning. May.

2019

  1. Jon Gauthier and Roger P. Levy. 2019. Linking artificial and human neural representations of language. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, pages 529–539.
  2. Aixiu An, Peng Qian, Ethan Wilcox, and Roger P. Levy. 2019. Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, pages 2888–2899.
  3. Ethan Wilcox, Roger P. Levy, and Richard Futrell. 2019. Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations. In Proceedings of the Second BlackboxNLP workshop.
  4. Peng Qian, Luke Hewitt, Joshua B. Tenenbaum, and Roger P. Levy. 2019. Inferring Structured Visual Concepts from Minimal Data. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 2620–2626.
  5. Ethan Wilcox, Roger P. Levy, and Richard Futrell. 2019. What Syntactic Structures Block Dependencies in RNN Language Models? In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 1199–1205.
  6. Meilin Zhan and Roger P. Levy. 2019. Availability-Based Production Predicts Speakers’ Real-time Choices of Mandarin Classifiers. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 1268–1274.
  7. Michael Henry Tessler, Karen Gu, and Roger P. Levy. 2019. Incremental understanding of conjunctive generic sentences. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 2954–2960.
  8. Matthias Hofer and Roger P. Levy. 2019. Iconicity and Structure in the Emergence of Combinatoriality. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 442–448.
  9. Jon Gauthier, Roger P. Levy, and Joshua B. Tenenbaum. 2019. A rational model of syntactic bootstrapping. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 1815–1821.
  10. Nabeel Gillani and Roger Levy. 2019. Simple dynamic word embeddings to map perceptions in the public sphere. In Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science, pages 94–99.
  11. Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, and Roger Levy. 2019. Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. In Proceedings of the 18th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3302–3312.
  12. Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, and Roger Levy. 2019. Neural language models as psycholinguistic subjects: Representations of syntactic state. In Proceedings of the 18th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 32–42.
  13. Edward Gibson, Richard Futrell, Steven Piantadosi, Isabelle Dautriche, Kyle Mahowald, Leon Bergen, and Roger Levy. 2019. How Efficiency Shapes Human Language. Trends in Cognitive Sciences, 23(5):389–407.
  14. Richard Futrell and Roger P. Levy. 2019. Do RNNs learn human-like abstract word order preferences? In Proceedings of the Society for Computation in Linguistics (SCiL) 2019, volume 2, pages 50–59.
  15. Richard N. Aslin and Roger P. Levy. 2019. Cognitive Science Honors the Memory of Jeffrey Elman. Open Mind, 3:23–30.

2018

  1. Roger Levy. 2018. Using R formulae to test for main effects in the presence of higher-order interactions.
  2. Ethan Wilcox, Roger P. Levy, Takashi Morita, and Richard Futrell. 2018. What do RNN Language Models Learn about Filler–Gap Dependencies? In Proceedings of the Workshop on Analyzing and Interpreting Neural Networks for NLP.
  3. Erik Kaestner, Adam Milton Morgan, Joseph Snider, Meilin Zhan, Xi Jiang, Roger Levy, Victor S. Ferreira, Thomas Thesen, and Eric Halgren. 2018. Toward a database of intracranial electrophysiology during natural language presentation. Language, Cognition and Neuroscience.
  4. Judy Shen, Matthias Hofer, Bjarke Felbo, and Roger Levy. 2018. Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games. In Proceedings of the Twenty-Second Conference on Computational Natural Language Learning (CoNLL), pages 292–301.
  5. Jon Gauthier, Roger P. Levy, and Joshua B. Tenenbaum. 2018. Word learning and the acquisition of syntactic–semantic overhypotheses. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society, pages 1699–1704.
  6. Anna Ivanova and Roger Levy. 2018. Pragmatic Inference of Intended Referents from Binomial Word Order. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society, pages 1865–1870.
  7. Roger P. Levy. 2018. Communicative Efficiency, Uniform Information Density, and the Rational Speech Act Theory. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society, pages 684–689.
  8. Meilin Zhan and Roger Levy. 2018. Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1997–2005.
  9. Yevgeni Berzak, Boris Katz, and Roger Levy. 2018. Assessing Language Proficiency from Eye Movements in Reading. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1986–1996.
  10. Edward Gibson, Julian Jara-Ettinger, Roger P. Levy, and Steven T. Piantadosi. 2018. The use of a computer display exaggerates the connection between exact and approximate number ability in remote populations. Open Mind, 2(1):37–46.

2017

  1. Richard Futrell, Roger Levy, and Edward Gibson. 2017. Generalizing dependency distance: Comment on “Dependency distance: A new perspective on syntactic patterns in natural languages” by Haitao Liu et al. Physics of Life Reviews, 21:197–199.
  2. Matthias Hofer and Roger Levy. 2017. Modeling Sources of Uncertainty in Spoken Word Learning. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, pages 550–555.
  3. Richard Futrell and Roger Levy. 2017. Noisy-context surprisal as a human sentence processing cost model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 688–698.
  4. Stephan Meylan, Michael C. Frank, Brandon C. Roy, and Roger Levy. 2017. The emergence of an abstract grammatical category in children’s early speech. Psychological Science, 28(2):181–192.
  5. Eva Wittenberg and Roger Levy. 2017. If You Want A Quick Kiss, Make It Count: How Choice Of Syntactic Construction Affects Event Construal. Journal of Memory and Language, 94:254–271.
  6. Edward Gibson, Steven T. Piantadosi, and Roger Levy. 2017. Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012). Journal of Semantics, 34:539–546.
  7. Mallorie Leinenger, Mark Myslin, Keith Rayner, and Roger Levy. 2017. Do resource constraints affect lexical processing? Evidence from eye movements. Journal of Memory and Language, 93:82–103.
  8. Julian Jara-Ettinger, Steve Piantadosi, Elizabeth S. Spelke, Roger Levy, and Edward Gibson. 2017. Mastery of the logic of natural numbers is not the result of mastery of counting: Evidence from late counters. Developmental Science, 20(6):e12459.
  9. Richard Futrell, Roger Levy, and Matthew Dryer. 2017. A Statistical Comparison of Some Theories of NP Word Order.

2016

  1. Gabriel Doyle and Roger Levy. 2016. Data-driven learning of symbolic constraints for a log-linear model in a phonological setting. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 2217–2226. December.
  2. Gutiérrez E. Darı́o, Roger Levy, and Benjamin Bergen. 2016. Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 2379–2388. Best Paper Award.
  3. Meilin Zhan, Roger Levy, and Andrew Kehler. 2016. Bayesian Pronoun Interpretation in Mandarin Chinese. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, pages 2393–2398. Oral presentation.
  4. Till Poppels and Roger Levy. 2016. Structure-sensitive Noise Inference: Comprehenders Expect Exchange Errors. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, pages 378–383. Poster presentation.
  5. Emily Morgan and Roger Levy. 2016. Frequency-dependent regularization in iterated learning. In S.G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, and T. Verhoef, editors, The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11).
  6. Christopher Potts, Daniel Lassiter, Roger Levy, and Michael C. Frank. 2016. Embedded Implicatures as Pragmatic Inferences under Compositional Lexical Uncertainty. Journal of Semantics, 33(4):755–802.
  7. Bożena Pająk, Sarah C. Creel, and Roger Levy. 2016. Difficulty in learning similar-sounding words: a developmental stage or a general property of learning? Journal of Experimental Psychology: Learning, Memory, & Cognition, 42(9):1377–1399.
  8. Mark Myslín and Roger Levy. 2016. Comprehension priming as rational expectation for repetition: Evidence from syntactic processing. Cognition, 147:29–56.
  9. Leon Bergen, Roger Levy, and Noah Goodman. 2016. Pragmatic Reasoning through Semantic Inference. Semantics and Pragmatics, 9(20).
  10. Emily Morgan and Roger Levy. 2016. Abstract knowledge versus direct experience in processing of binomial expressions. Cognition, 157:384–402.

2015

  1. Till Poppels and Roger Levy. 2015. Resolving quantity and informativeness implicature in indefinite reference. In Willem Zuidema and Jakub Szymanik, editors, Proceedings of the 2015 Amsterdam Colloquium: The Workshop on Reasoning in Natural Language, pages 313–322.
  2. Justine T. Kao, Roger Levy, and Noah D. Goodman. 2015. A Computational Model of Linguistic Humor in Puns. Cognitive Science:1–16.
  3. Christopher Potts and Roger Levy. 2015. Negotiating Lexical Uncertainty and Speaker Expertise with Disjunction. In Proceedings of the 41st Annual Meeting of the Berkeley Linguistics Society.
  4. Emily Morgan and Roger Levy. 2015. Modeling idiosyncratic preferences: How generative knowledge and expression frequency jointly determine language structure. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society, pages 1649–1654.
  5. Thomas Wasow, Roger Levy, Robin Melnick, Hanzhi Zhu, and Tom Juzek. 2015. Processing, Prosody, and Optional to. In Lyn Frazier and Edward Gibson, editors, Explicit and Implicit Prosody in Sentence Processing, pages 133–158. Springer, edition.
  6. Mark Myslín and Roger Levy. 2015. Codeswitching and predictability of meaning in discourse. Language, 91(4):871–905.

2014

  1. Roger Levy. 2014. Using R formulae to test for main effects in the presence of higher-order interactions. May.
  2. Bożena Pająk and Roger Levy. 2014. The role of abstraction in non-native speech perception. Journal of Phonetics, 46:147–160.
  3. Gabriel Doyle, Klinton Bicknell, and Roger Levy. 2014. Nonparametric Learning of Phonological Constraints in Optimality Theory. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 1094–1103.
  4. Elizabeth R. Schotter, Klinton Bicknell, Ian Howard, Roger Levy, and Keith Rayner. 2014. Task effects reveal cognitive flexibility responding to frequency and predictability: Evidence from eye movements in reading and proofreading. Cognition, 131(1):1–27.
  5. Jose Costa Pereira, Emanuele Coviello, Gabriel Doyle, Nikhil Rasiwasia, Gert Lanckriet, Roger Levy, and Nuno Vasconcelos. 2014. On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3):521–535.

2013

  1. Bożena Pająk, Klinton Bicknell, and Roger Levy. 2013. A model of generalization in distributional learning of phonetic categories. In Proceedings of the 4th Annual Workshop on Cognitive Modeling and Computational Linguistics, pages 11–20.
  2. Roger Levy and Edward Gibson. 2013. Surprisal, the PDC, and the primary locus of processing difficulty in relative clauses. Frontiers in Psychology, 4(229).
  3. Stephan Meylan, Michael C. Frank, and Roger Levy. 2013. Modeling the Development of Determiner Productivity in Children’s Early Speech. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society, pages 3032–3037.
  4. Roger Levy. 2013. Memory and Surprisal in Human Sentence Comprehension. In Roger P. G. van Gompel, editor, Sentence Processing, pages 78–114. Hove: Psychology Press, edition.
  5. Roger Levy and Frank Keller. 2013. Expectation and Locality Effects in German Verb-final Structures. Journal of Memory and Language, 68(2):199–222.
  6. Dale J. Barr, Roger Levy, Christoph Scheepers, and Harry J. Tily. 2013. Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3):255–278.
  7. Roger Levy, Evelina Fedorenko, and Edward Gibson. 2013. The syntactic complexity of Russian relative clauses. Journal of Memory and Language, 69(4):461–495.
  8. Nathaniel J. Smith and Roger Levy. 2013. The effect of word predictability on reading time is logarithmic. Cognition, 128(3):302–319.
  9. Klinton Bicknell, Emily Higgins, Roger Levy, and Keith Rayner. 2013. Evidence for cognitively controlled saccade targeting in reading. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society, pages 197–202.
  10. Justine Kao, Roger Levy, and Noah Goodman. 2013. The Funny Thing about Incongruity: A Computational Model of Humor in Puns. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society, pages 728–733.
  11. Gabriel Doyle and Roger Levy. 2013. Combining multiple information types in Bayesian word segmentation. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 117–126.

2012

  1. Bożena Pająk, Sarah C. Creel, and Roger Levy. 2012. Can native-language perceptual bias facilitate learning words in a new language? In Proceedings of the 34th Annual Meeting of the Cognitive Science Society, pages 2174–2179.
  2. Leon Bergen, Roger Levy, and Edward Gibson. 2012. Verb omission errors: Evidence of rational processing of noisy language inputs. In Proceedings of the 34th Annual Meeting of the Cognitive Science Society, pages 1320–1325.
  3. Leon Bergen, Noah D. Goodman, and Roger Levy. 2012. That’s what she (could have) said: How alternative utterances affect language use. In Proceedings of the 34th Annual Meeting of the Cognitive Science Society, pages 120–125.
  4. Klinton Bicknell and Roger Levy. 2012. Why long words take longer to read: the role of uncertainty about word length. In Proceedings of the 3rd Annual Workshop on Cognitive Modeling and Computational Linguistics, pages 21–30.
  5. Victoria Fossum and Roger Levy. 2012. Sequential vs. Hierarchical Syntactic Models of Human Incremental Sentence Processing. In Proceedings of the 3rd Annual Workshop on Cognitive Modeling and Computational Linguistics, pages 61–69, Montreal, Quebec.
  6. Klinton Bicknell and Roger Levy. 2012. Word predictability and frequency effects in a rational model of reading. In Proceedings of the 34th Annual Meeting of the Cognitive Science Society, pages 126–131, Sapporo, Japan.
  7. Klinton Bicknell and Roger Levy. 2012. The utility of modeling word identification from visual input within models of eye movements in reading. Visual Cognition, 20(4–5):422–456.
  8. Roger Levy, Evelina Fedorenko, Mara Breen, and Ted Gibson. 2012. The Processing of Extraposed Structures in English. Cognition, 122(1):12–36.
  9. Bożena Pająk and Roger Levy. 2012. Distributional Learning of L2 Phonological Categories by Listeners with Different Language Backgrounds. In Alia Biller, Esther Chung, and Amelia Kimball, editors, Proceedings of the 36th Boston University Conference on Language Development, pages 400–413. Somerville, MA: Cascadilla Press.

2011

  1. Klinton Bicknell and Roger Levy. 2011. Why readers regress to previous words: A statistical analysis. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, pages 931–936.
  2. Roger Levy. 2011. Probabilistic Linguistic Expectations, Uncertain Input, and Implications for Eye Movements in Reading. Studies of Psychology and Behavior, 9(1):52–63.
  3. Roger Levy and Hal Daumé III. 2011. Computational methods are invaluable for typology, but the models must match the questions: Commentary on Dunn et al. (2011). Linguistic Typology, 15(2):393–399.
  4. Bożena Pająk and Roger Levy. 2011. Phonological Generalization from Distributional Evidence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, Austin, TX. Cognitive Science Society.
  5. Roger Levy. 2011. Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 1055–1065.
  6. Randy West, Y. Albert Park, and Roger Levy. 2011. Bilingual Random Walk Models for Automated Grammar Correction of ESL Author-Produced Text. In Proceedings of the Workshop on Innovative Use of NLP for Building Educational Applications, pages 170–179.
  7. Y. Albert Park and Roger Levy. 2011. Automated Whole Sentence Grammar Correction Using a Noisy Channel Model. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 934–944.
  8. Nathaniel J. Smith and Roger Levy. 2011. Cloze but no cigar: The complex relationship between Cloze, corpus, and subjective probabilities in language processing. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, pages 1637–1642.
  9. Hannah Rohde, Roger Levy, and Andrew Kehler. 2011. Anticipating Explanations in Relative Clause Processing. Cognition, 118(3):339–358.
  10. Bożena Pająk and Roger Levy. 2011. How abstract are phonological representations? Evidence from distributional learning. In Proceedings of the Chicago Linguistic Society.

2010

  1. Rebecca Colavin, Roger Levy, and Sharon Rose. 2010. Modeling OCP-Place with the Maximum Entropy Phonotactic Learner. In Proceedings of the Chicago Linguistic Society.
  2. Nikhil Rasiwasia, Jose M. Costa Pereira, Emanuele Coviello, Gabriel Doyle, Gert R. G. Lanckriet, Roger Levy, and Nuno Vasconcelos. 2010. A New Approach To Cross-Modal Multimedia Retrieval. In Proceedings of the ACM International Conference on Multimedia, pages 251–260.
  3. Klinton Bicknell and Roger Levy. 2010. Rational eye movements in reading combining uncertainty about previous words with contextual probability. In Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, pages 1142–1147.
  4. Klinton Bicknell and Roger Levy. 2010. A Rational Model of Eye Movement Control in Reading. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1168–1178, Uppsala, Sweden.
  5. Nathaniel J. Smith and Roger Levy. 2010. Fixation durations in first-pass reading reflect uncertainty about word identity. In Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, pages 1313–1318.
  6. Nathaniel J. Smith, Wen-Hsuan Chan, and Roger Levy. 2010. Is perceptual acuity asymmetric in isolated word recognition? Evidence from an ideal-observer reverse-engineering approach. In Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, pages 1483–1488.
  7. Roger Levy. 2010. Probabilistic Models in the Study of Language. Textbook in progress.

2009

  1. Roger Levy, Klinton Bicknell, Tim Slattery, and Keith Rayner. 2009. Eye Movement Evidence that Readers Maintain and Act on Uncertainty about Past Linguistic Input. Proceedings of the National Academy of Sciences, 106(50):21086–21090.
  2. Klinton Bicknell, Roger Levy, and Vera Demberg. 2009. Correcting the incorrect: Local coherence effects modeled with prior belief update. In Proceedings of the 35th Annual Meeting of the Berkeley Linguistics Society, pages 13–24.
  3. Y. Albert Park and Roger Levy. 2009. Minimal-length linearizations for mildly context-sensitive dependency trees. In Proceedings of the 10th Annual Meeting of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) conference, pages 335–343, Boulder, Colorado, USA.
  4. Roger Levy, Florencia Reali, and Thomas L. Griffiths. 2009. Modeling the effects of memory on human online sentence processing with particle filters. In Proceedings of the 22nd Conference on Neural Information Processing Systems (NIPS).
  5. Klinton Bicknell and Roger Levy. 2009. A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs. In Proceedings of the 10th Annual Meeting of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) conference, pages 665–673, Boulder, Colorado, USA.

2008

  1. Roger Levy. 2008. Expectation-Based Syntactic Comprehension. Cognition, 106(3):1126–1177.
  2. Nathaniel J. Smith and Roger Levy. 2008. Optimal Processing Times in Reading: a Formal Model and Empirical Investigation. In Proceedings of the 30th Annual Meeting of the Cognitive Science Society, pages 595–600, Washington, DC.
  3. Roger Levy. 2008. A noisy-channel model of rational human sentence comprehension under uncertain input. In Proceedings of the 13th Conference on Empirical Methods in Natural Language Processing, pages 234–243, Waikiki, Honolulu.
  4. Gabriel Doyle and Roger Levy. 2008. Environment Prototypicality in Syntactic Alternation. In Proceedings of the 34th Annual Meeting of the Berkeley Linguistics Society.

2007

  1. Roger Levy and T. Florian Jaeger. 2007. Speakers Optimize Information Density Through Syntactic Reduction. In Proceedings of the 20th Conference on Neural Information Processing Systems (NIPS).

2006

  1. Sarah Bunin Benor and Roger Levy. 2006. The Chicken or the Egg? A Probabilistic Analysis of English Binomials. Language, 82(2):233–278.
  2. Roger Levy and Galen Andrew. 2006. Tregex and Tsurgeon: tools for querying and manipulating tree data structures. In Proceedings of the 2006 conference on Language Resources and Evaluation, pages 2231–2234.
  3. Owen Rambow, David Chiang, Mona Diab, Nizar Habash, Rebecca Hwa, Khalil Sima’an, Vincent Lacey, Roger Levy, Carol Nichols, and Safiullah Shareef. 2006. Parsing Arabic Dialects. Technical report, Johns Hopkins University.

2005

  1. Roger Levy. 2005. Probabilistic Models of Word Order and Syntactic Discontinuity. PhD thesis, Stanford University.

2004

  1. Roger Levy and Christopher Manning. 2004. Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics.
  2. Iddo Lev, Bill MacCartney, Christopher Manning, and Roger Levy. 2004. Solving Logic Puzzles: From Robust Processing to Precise Semantics. In Proceedings of the 2nd Workshop on Text Meaning and Interpretation, pages 9–16.

2003

  1. Roger Levy and Christopher Manning. 2003. Is it harder to parse Chinese, or the Chinese Treebank? In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics.
  2. Cynthia Thompson, Roger Levy, and Christopher Manning. 2003. A Generative Model for FrameNet Semantic Role Labeling. In Proceedings of the 14th European Conference on Machine Learning, pages 397–408.
  3. Roger Levy and David Oshima. 2003. Non-transitive information flow in Japanese noun-classifier matching. In Stefan Müller, editor, Proceedings of the 10th International Conference on Head-Driven Phrase Structure Grammar, pages 257–277. CSLI Publications. Available online at \urlhttp://cslipublications.stanford.edu/HPSG/4/.

2002

  1. Roger Levy. 2002. The Statistical Distribution of English Coordinate Noun Phrases: Parallelism and Weight Effects. Presented at NWAV 31.
  2. Kenichi Aoki, Daisuke Satoh, and Roger Levy. 2002. Theoretical aspects of brother–sister mating in birds and mammals. In Kenichi Aoki and Takeru Akazawa, editors, Human mate choice and prehistoric marital networks, pages 5–15. Nichibunken, Kyoto, edition.

2001

  1. Roger Levy. 2001. Feature Indeterminacy and the Coordination of Unlikes in a Totally Well-Typed HPSG. Manuscript, Stanford University.
  2. Roger Levy and Carl Pollard. 2001. Coordination and Neutralization in HPSG. In Frank Van Eynde, Lars Hellan, and Dorothee Beermann, editors, Proceedings of the 8th International Conference on Head-Driven Phrase Structure Grammar, pages 221–234. CSLI Publications. Available online at \urlhttp://csli-publications.stanford.edu/HPSG/2/.