Publications

Anej Svete, Robin Shing Moon Chan, Ryan Cotterell (2024). On Efficiently Representing Regular Languages as RNNs. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan (2024). Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?. Proceedings of the 41st International Conference on Machine Learning.

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Anej Svete, Ryan Cotterell (2024). Transformers Can Represent n-gram Language Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

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Brian DuSell, David Chiang (2024). Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. The Twelfth International Conference on Learning Representations.

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Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko (2024). PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).

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Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell (2024). What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell (2024). What Do Language Models Learn in Context? The Structured Task Hypothesis.. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Josef Valvoda, Ryan Cotterell (2024). Towards Explainability in Legal Outcome Prediction Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

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Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell (2024). The Foundations of Tokenization: Statistical and Computational Concerns.

Franz Nowak$^*$, Anej Svete$^*$, Alexandra Butoi, Ryan Cotterell (2024). On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Anej Svete$^*$, Franz Nowak$^*$, Anisha Mohamed Sahabdeen, Ryan Cotterell (2024). Lower Bounds on the Expressivity of Recurrent Neural Language Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

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Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell (2024). Context versus Prior Knowledge in Language Models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell (2024). A Transformer with Stack Attention. Findings of the Association for Computational Linguistics: NAACL 2024.

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Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel (2023). The Ethics of Automating Legal Actors. Association for Computational Linguistics.

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Afra Amini, Li Du, Ryan Cotterell (2023). Structured Voronoi Sampling.

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Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell (2023). Revisiting the Optimality of Word Lengths. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Anej Svete, Ryan Cotterell (2023). Recurrent Neural Language Models as Probabilistic Finite-state Automata. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev (2023). Quantifying the redundancy between prosody and text. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Franz Nowak, Anej Svete, Li Du, Ryan Cotterell (2023). On the Representational Capacity of Recurrent Neural Language Models. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell (2023). On the Optimality of Word Lengths. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell (2023). Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel (2023). Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell (2023). Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning.

Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang (2023). Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira (2023). An Exploration of Left-Corner Transformations. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Vilém Zouhar, Clara Meister, Juan Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell (2023). Tokenization and the Noiseless Channel. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Ethan G. Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell (2023). Testing the Predictions of Surprisal Theory in 11 Languages. Transactions of the Association for Computational Linguistics.

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Clara Meister, Tiago Pimentel, Luca Malagutti, Ryan Cotterell (2023). On the Efficacy of Sampling Adapters. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Tiago Pimentel, Clara Meister, Ethan G. Wilcox, Roger Levy, Ryan Cotterell (2023). On the Effect of Anticipation on Reading Times. Transactions of the Association for Computational Linguistics.

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Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell (2023). Naturalistic Causal Probing for Morpho-Syntax. Transactions of the Association for Computational Linguistics.

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Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell (2023). Log-Linear Guardedness and Its Implications. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell (2023). Locally Typical Sampling. Transactions of the Association for Computational Linguistics.

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Afra Amini$^*$, Tianyu Liu$^*$, Ryan Cotterell (2023). Hexatagging: Projective Dependency Parsing as Tagging. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).

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Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell (2023). Generalizing Backpropagation for Gradient-Based Interpretability. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell (2023). Generalizing Backpropagation for Gradient-Based Interpretability. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner (2023). Efficient Semiring-Weighted Earley Parsing. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner (2023). Efficient Semiring-Weighted Earley Parsing. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Ryan Cotterell, Mrinmaya Sachan (2023). Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Ryan Cotterell, Mrinmaya Sachan (2023). Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Alexandra Butoi, Ryan Cotterell, David Chiang (2023). Convergence and Diversity in the Control Hierarchy. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein (2023). An Ordinal Latent Variable Model of Conflict Intensity. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell (2023). A Measure-theoretic Characterization of Tight Language Model. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Vilém Zouhar, Clara Meister, Juan Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell (2023). A Formal Perspective on Byte-Pair Encoding. Findings of the Association for Computational Linguistics: ACL 2023.

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Franz Nowak, Ryan Cotterell (2023). A Fast Algorithm for Computing Prefix Probabilities. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).

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Niklas Stoehr, Ryan Cotterell, Aaron Schein (2023). Sentiment as an Ordinal Latent Variable. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

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Tiago Pimentel$^*$, Clara Meister$^*$, Ryan Cotterell (2023). On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. Proceedings of the 11th International Conference on Learning Representations.

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Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell (2023). On the Intersection of Context-Free and Regular Languages. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

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Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein (2023). The Ordered Matrix Dirichlet for State-Space Models. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics.

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Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein (2023). Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.

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Wangchunshu Zhou, Yuchen Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan (2023). Controlled Text Generation with Natural Language Instructions. Proceedings of the 39th International Conference on Machine Learning.

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Karolina Stańczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein (2023). A Latent-Variable Model for Intrinsic Probing. Proceedings of the 37th AAAI Conference on Artificial Intelligence.

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Thomas Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Richard Futrell, Ryan Cotterell, Roger Levy (2023). A Cross-Linguistic Pressure for Uniform Information Density in Word Order. Transactions of the Association for Computational Linguistics.

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Tiago Pimentel*, Josef Valvoda*, Niklas Stoehr, Ryan Cotterell (2022). The Architectural Bottleneck Principle. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Afra Amini, Ryan Cotterell (2022). On Parsing as Tagging. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Liam van der Poel, Ryan Cotterell, Clara Meister (2022). Mutual Information and Hallucinations in Abstractive Summarization. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell (2022). Kernelized Concept Erasure. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan (2022). Autoregressive Structure Prediction with Language Models. Findings of the Association for Computational Linguistics: EMNL 2022.

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Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang (2022). Algorithms for Weighted Pushdown Automata. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner (2022). Algorithms for Weighted Finite-State Automata with Failure Arcs. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

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Jennifer White, Ryan Cotterell (2022). Equivariant Transduction through Invariant Alignment. Proceedings of the 29th International Conference on Computational Linguistics.

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Josef Valvoda, Naomi Saphra, Jon Rawski, Adina Williams, Ryan Cotterell (2022). Benchmarking Compositionality with Formal Languages. Proceedings of the 29th International Conference on Computational Linguistics.

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Johann-Mattis List, Ekaterina Vylomova, Robert Forkel, Nathan Hill, Ryan Cotterell (2022). The SIGTYP 2022 Shared Task on the Prediction of Cognate Reflexes. Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP.

Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora, Viktor Martinovic, Kyle Gorman, Zdeněk Žabokrtský, Amarsanaa Ganbold, Šárka Dohnalová, Magda Ševčíková, Kateřina Pelegrinová, Fausto Giunchiglia, Ryan Cotterell, Ekaterina Vylomova (2022). The SIGMORPHON 2022 Shared Task on Morpheme Segmentation. Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.

Jordan Kodner, Salam Khalifa, Khuyagbaatar Batsuren, Hossep Dolatian, Ryan Cotterell, Faruk Akkus, Antonios Anastasopoulos, Taras Andrushko, Aryaman Arora, Nona Atanalov, Gábor Bella, Elena Budianskaya, Yustinus Ghanggo Ate, Omer Goldman, David Guriel, Simon Guriel, Silvia Guriel-Agiashvili, Witold Kieraś, Andrew Krizhanovsky, Natalia Krizhanovsky, Igor Marchenko, Magdalena Markowska, Polina Mashkovtseva, Maria Nepomniashchaya, Daria Rodionova, Karina Scheifer, Alexandra Sorova, Anastasia Yemelina, Jeremiah Young, Ekaterina Vylomova (2022). SIGMORPHON--UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological Inflection. Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.

Karolina Stańczak, Edoardo Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein (2022). Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan (2022). Probing via Prompting. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams (2022). On the Machine Learning of Ethical Judgments from Natural Language. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell (2022). Linear Adversarial Concept Erasure. Proceedings of the 39th International Conference on Machine Learning.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2022). Exact Paired-Permutation Testing for Structured Test Statistics. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou (2022). BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan (2022). A Structured Span Selector. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell (2022). Probing for the Usage of Grammatical Number. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, Ryan Cotterell (2022). Probing as Quantifying the Inductive Bias of Pre-trained Representations. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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On the probability-quality paradox in language generation (2022). On the probability-quality paradox in language generation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Aryaman Arora, Clara Meister, Ryan Cotterell (2022). Estimating the Entropy of Linguistic Distributions. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger P. Levy (2022). Analyzing Wrap-Up Effects through an Information-Theoretic Lens. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Rita Sevastjanova, Eren Cakmak, Shauli Ravfogel, Ryan Cotterell, Mennatallah El-Assady (2022). Visual Comparison of Language Model Adaptation. IEEE Visualization.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin (2022). State-of-the-art generalisation research in NLP: a taxonomy and review. arXiv.

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Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell (2022). On the Intersection of Context-Free and Regular Languages. arXiv.

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Gian Wiher, Clara Meister, Ryan Cotterell (2022). On Decoding Strategies for Neural Text Generators. Transactions of the Association for Computational Linguistics.

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Tiago Pimentel, Clara Meister, Ryan Cotterell (2022). Cluster-based Evaluation of Automatically Generated Text. arXiv.

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Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein (2022). An Ordinal Latent Variable Model of Conflict Intensity. arXiv.

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Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell (2021). Text or Topology? Classifying Ally-Enemy Pairs in Militarised Conflict. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Tim Vieira, Ryan Cotterell, Jason Eisner (2021). Searching for More Efficient Dynamic Programs. Findings of EMNLP.

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Tim Vieira, Ryan Cotterell, Jason Eisner (2021). Searching for More Efficient Dynamic Programs. Findings of the Association for Computational Linguistics: EMNLP 2021.

Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy (2021). Revisiting the Uniform Information Density Hypothesis. EMNLP.

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Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy (2021). Revisiting the Uniform Information Density Hypothesis. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián Blasi, Ryan Cotterell (2021). Phone-level Uniform Information Density across and within Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell (2021). On Homophony and Rényi Entropy. EMNLP.

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Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell (2021). On Homophony and Rényi Entropy. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer (2021). Keyword2Text: A Plug-and-Play Method for Controlled Text Generation. Findings of the Association for Computational Linguistics: EMNLP 2021.

Jennifer C. White, Ryan Cotterell (2021). Equivariant Transduction through Invariant Alignment. Findings of the Association for Computational Linguistics: EMNLP 2021.

Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). Efficient Sampling of Dependency Structure. EMNLP.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). Efficient Sampling of Dependency Structure. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell (2021). Conditional Poisson Stochastic Beams. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell (2021). Conditional Poisson Stochastic Beam Search. EMNLP.

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Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell (2021). Classifying Dyads for Militarized Conflict Analysis. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

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Niklas Stoehr, Josef Valvoda, Lucas Torroba Hennigen, Giuseppe Russo, Robert West, Ryan Cotterell (2021). Adjusting the Conflict-Cooperation Scale for Armed Conflict Assessment. Findings of the Association for Computational Linguistics: EMNLP 2021.

Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián Blasi, Ryan Cotterell (2021). A surprisal--duration trade-off across and within the world’s languages. EMNLP.

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Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer (2021). A Plug-and-Play Method for Controlled Text Generation. Findings of EMNLP.

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Tiago Pimentel, Ryan Cotterell (2021). A Bayesian Framework for Information-Theoretic Probing. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Tiago Pimentel, Ryan Cotterell (2021). A Bayesian Framework for Information-Theoretic Probing. EMNLP.

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Tiago Pimentel, Maria Ryskina, Sabrina J. Mielke, Shijie Wu, Eleanor Chodroff, Brian Leonard, Garrett Nicolai, Yustinus Ghanggo Ate, Salam Khalifa, Nizar Habash, Charbel El-Khaissi, Omer Goldman, Michael Gasser, William Lane, Matt Coler, Arturo Oncevay, Jaime Rafael Montoya Samame, Gema Celeste Silva Villegas, Adam Ek, Jean-Philippe Bernardy, Andrey Shcherbakov, Aziyana Bayyr-ool, Karina Sheifer, Sofya Ganieva, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Andrew Krizhanovsky, Natalia Krizhanovsky, Clara Vania, Sardana Ivanova, Aelita Salchak, Christopher Straughn, Zoey Liu, Jonathan North Washington, Duygu Ataman, Witold Kieraś, Marcin Woliński, Totok Suhardijanto, Niklas Stoehr, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Richard J. Hatcher, Emily Prud'hommeaux, Ritesh Kumar, Mans Hulden, Botond Barta, Dorina Lakatos, Gábor Szolnok, Judit Ács, Mohit Raj, David Yarowsky, Ryan Cotterell, Ben Ambridge, Ekaterina Vylomova (2021). SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages. Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.

Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). On Finding the $K$-best Non-projective Dependency Trees. ACL.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). On Finding the $K$-best Non-projective Dependency Trees. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

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Irene Nikkarinen*, Tiago Pimentel*, Damián Blasi, Ryan Cotterell (2021). Modelling the Unigram Distribution. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

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Irene Nikkarinen$^*$, Tiago Pimentel$^*$, Damián Blasi, Ryan Cotterell (2021). Modeling the Unigram Distribution. Findings of ACL.

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Clara Meister, Ryan Cotterell (2021). Language Model Evaluation Beyond Perplexity. ACL.

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Clara Meister, Ryan Cotterell (2021). Language Model Evaluation Beyond Perplexity. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

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Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell (2021). Is Sparse Attention more Interpretable?. ACL.

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Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell (2021). Is Sparse Attention more Interpretable?. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).

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Higher-order Derivatives of Weighted Finite-state Machines (2021). Higher-order Derivatives of Weighted Finite-state Machines. ACL.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). Higher-order Derivatives of Weighted Finite-state Machines. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).

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Jennifer C. White, Ryan Cotterell (2021). Examining the Inductive Bias of Neural Language Models with Artificial Languages. ACL.

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Jennifer C. White, Ryan Cotterell (2021). Examining the Inductive Bias of Neural Language Models with Artificial Languages. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

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Clara Meister, Martina Forster, Ryan Cotterell (2021). Determinantal Beam Search. ACL.

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Clara Meister, Martina Forster, Ryan Cotterell (2021). Determinantal Beam Search. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

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Jason Wei, Clara Meister, Ryan Cotterell (2021). A cognitive regularizer for language modeling. ACL.

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Jason Wei, Clara Meister, Ryan Cotterell (2021). A cognitive regularizer for language modeling. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

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Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel (2021). What About the Precedent: An Information-Theoretic Analysis of Common Law. NAACL.

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Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel (2021). What About the Precedent: An Information-Theoretic Analysis of Common Law. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Elizabeth Salesky, Badr M. Abdullah, Sabrina Mielke, Elena Klyachko, Oleg Serikov, Edoardo Maria Ponti, Ritesh Kumar, Ryan Cotterell, Ekaterina Vylomova (2021). SIGTYP 2021 Shared Task: Robust Spoken Language Identification. Proceedings of the Third Workshop on Computational Typology and Multilingual NLP.

Tiago Pimentel$^*$, Irene Nikkarinen$^*$, Kyle Mahowald, Ryan Cotterell, Damián Blasi (2021). How (Non-)Optimal is the Lexicon?. NAACL.

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Tiago Pimentel*, Irene Nikkarinen*, Kyle Mahowald, Ryan Cotterell, Damián Blasi (2021). How (Non-)Optimal is the Lexicon?. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián Blasi (2021). Finding Concept-specific Biases in Form--Meaning Associations. NAACL.

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Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián Blasi (2021). Finding Concept-specific Biases in Form--Meaning Associations. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Rowan Hall Mauslay, Ryan Cotterell (2021). Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. NAACL.

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Rowan Hall Mauslay, Ryan Cotterell (2021). Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell (2021). A Non-Linear Structural Probe. NAACL.

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Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell (2021). A Non-Linear Structural Probe. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Martina Forster, Clara Meister, Ryan Cotterell (2021). Searching for Search Errors in Neural Morphological Inflection. EACL.

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Martina Forster, Clara Meister, Ryan Cotterell (2021). Searching for Search Errors in Neural Morphological Inflection. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.

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Tiago Pimentel, Ryan Cotterell, Brian Roark (2021). Disambiguatory signals are stronger in word initial positions. EACL.

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Shijie Wu, Mans Hulden, Ryan Cotterell (2021). Applying the Transformer to Character-level Transduction. EACL.

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Shijie Wu, Mans Hulden, Ryan Cotterell (2021). Applying the Transformer to Character-level Transduction. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.

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Edoardo M. Ponti, Ivan Vulić, Ryan Cotterell, Marinela Parović, Roi Reichart, Anna Korhonen (2021). Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. TACL.

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Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián Blasi, Hanna Wallach (2021). On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. TACL.

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Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott (2021). Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs. TACL.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2021). Efficient Computation of Expectations under Spanning Tree Distributions. TACL.

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Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan (2021). Differentiable Subset Pruning of Transformer Heads. TACL.

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Zeerak Talat$^*$, Hagen Blix$^*$, Adina Williams, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell (2021). A Word on Machine Ethics: A Response to Jiang et al. (2021).

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Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann Copestake (2020). Morphologically Aware Word-Level Translation. COLING.

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Tiago Pimentel, Rowan Hall Maudslay, Damián Blasi, Ryan Cotterell (2020). Speakers Fill Semantic Gaps with Context. EMNLP.

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Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo M. Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein (2020). SIGTYP 2020 Shared Task: Prediction of Typological Features. SIGTYP.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2020). Please Mind the Root: Decoding Arborescences for Dependency Parsing. EMNLP.

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Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell (2020). Pareto Probing: Trading Off Accuracy for Simplicity. EMNLP.

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Arya D. McCarthy, Adina Williams, Shijia Liu, David Yarowsky, Ryan Cotterell (2020). Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. EMNLP.

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Jun Yen Leung, Guy Emerson, Ryan Cotterell (2020). Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model. EMNLP.

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Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell (2020). Intrinsic Probing through Dimension Selection. EMNLP.

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Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell (2020). Intrinsic Probing through Dimension Selection. EMNLP.

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Clara Meister, Tim Vieira, Ryan Cotterell (2020). If Beam Search is the Answer, What was the Question?. EMNLP.

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Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián Blasi (2020). Finding Concept-specific Biases in Form–Meaning Associations. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.

Francisco Vargas, Ryan Cotterell (2020). Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. EMNLP.

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Francisco Vargas Palomo, Ryan Cotterell (2020). Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.

Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash (2020). The Paradigm Discovery Problem. ACL.

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Ekaterina Vylomova, Jennifer White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden (2020). SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. SIGMORPHON.

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Adina Williams, Tiago Pimentel, Arya McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell (2020). Predicting Declension Class from Form and Meaning. ACL.

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Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell, Simone Teufel (2020). Metaphor Detection Using Context and Concreteness. Second Workshop on Figurative Language Processing.

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Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki (2020). It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. ACL.

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Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell (2020). Information-Theoretic Probing for Linguistic Structure. ACL.

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Clara Meister, Elizabeth Salesky, Ryan Cotterell (2020). Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. ACL.

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Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell (2020). A Tale of a Probe and a Parser. ACL.

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Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black, Jason Eisner (2020). A Corpus for Large-Scale Phonetic Typology. ACL.

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Arya D. McCarthy, Christo Kirov, Matteo Grella, Amrit Nidhi, Patrick Xia, Kyle Gorman, Ekaterina Vylomova, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, Timofey Arkhangelskiy, Nataly Krizhanovsky, Andrew Krizhanovsky, Elena Klyachko, Alexey Sorokin, John Mansfield, Valts Ernštreits, Yuval Pinter, Cassandra L. Jacobs, Ryan Cotterell, Mans Hulden, David Yarowsky (2020). UniMorph 3.0: Universal Morphology. LREC.

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Martina Forster, Clara Meister (2020). SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team. SIGMORPHON.

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Tiago Pimentel, Brian Roark, Ryan Cotterell (2020). Phonotactic Complexity and its Trade-offs. TACL.

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Edoardo M Ponti, Ivan Vulić, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen (2020). Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. Transactions of the Association for Computational Linguistics.

Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damian Blasi, Hanna Wallach (2020). On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. Transactions of the Association for Computational Linguistics.

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Ran Zmigrod, Tim Vieira, Ryan Cotterell (2020). Efficient Computation of Expectations under Spanning Tree Distributions. Transactions of the Association for Computational Linguistics.

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Clara Meister, Tim Vieira, Ryan Cotterell (2020). Best-First Beam Search. TACL.

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Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen (2019). Towards Zero-Shot Language Modeling. EMNLP.

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Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damian Blasi, Hanna Wallach (2019). Quantifying the Semantic Core of Gender Systems. EMNLP.

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Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel (2019). It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. EMNLP.

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Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang (2019). Examining Gender Bias in Languages with Grammatical Gender. EMNLP.

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Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann Copestake (2019). Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. EMNLP.

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Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, Sabrina Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden (2019). The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. SIGMORPHON.

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Sabrina Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner (2019). What Kind of Language Is Hard to Language-Model?. ACL.

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Alexander M. Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell (2019). Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. ACL.

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Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein (2019). Uncovering Typological Implications with Belief Nets. ACL.

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Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni (2019). On the distribution of deep clausal embeddings: A large cross-linguistic study. ACL.

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Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell (2019). Measuring Morphological Irregularity. ACL.

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Tiago Pimentel, Arya McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell (2019). Meaning to Form: Measuring Systematicity as Information. ACL.

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Ran Zmigrod, Sabrina Mielke, Hanna Wallach, Ryan Cotterell (2019). Counterfactual Data Augmentation for Mitigating Gender Bias in Languages with Rich Morphology. ACL.

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Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell (2019). On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL.

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Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang (2019). Gender Bias in Contextualized Word Embeddings. NAACL.

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Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner (2019). Contextualization of Morphological Inflection. NAACL.

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Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell, Isabelle Augenstein (2019). Combining Sentiment Lexica with a Multi-View Variational Autoencoder. NAACL.

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Chaitanya Malaviya, Shijie Wu, Ryan Cotterell (2019). A Simple Joint Model for Improved Contextual Neural Lemmatization. NAACL.

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Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein (2019). A Probabilistic Generative Model of Linguistic Typology. NAACL.

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Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner (2019). On the Complexity and Typology of Inflectional Morphological Systems. TACL.

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Christo Kirov, Ryan Cotterell (2019). Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. Transactions of the Association for Computational Linguistics.

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Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, Sabrina Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden (2018). The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL.

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Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky (2018). Marrying Universal Dependencies and Universal Morphology. UDW.

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Shijie Wu, Pamela Shapiro, Ryan Cotterell (2018). Hard Non-Monotonic Attention for Character-Level Transduction. EMNLP.

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Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard (2018). Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. CoNLL.

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Sebastian Ruder$^*$, Ryan Cotterell$^*$, Yova Kementchedjhieva, Anders Søgaard (2018). A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. EMNLP.

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Lawrence Wolf-Sonkin$^*$, Jason Naradowsky$^*$, Sabrina J. Mielke$^*$, Ryan Cotterell$^*$ (2018). A Structured Variational Autoencoder for Contextual Morphological Inflection. ACL.

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Ryan Cotterell, Christo Kirov, Sabrina J. Mielke, Jason Eisner (2018). Unsupervised Disambiguation of Syncretism in Inflected Lexicons. NAACL.

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Ryan Cotterell, Sabrina J. Mielke, Jason Eisner, Brian Roark (2018). Are All Languages Equally Hard to Language-Model?. NAACL.

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Ryan Cotterell, Jason Eisner (2018). A Deep Generative Model of Vowel Formant Typology. NAACL.

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Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sabrina Mielke, Arya McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden (2018). UniMorph 2.0: Universal Morphology. LREC.

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Christo Kirov, Ryan Cotterell (2018). Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. TACL.

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Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner (2018). On the Diachronic Stability of Irregularity in Inflectional Morphology. arXiv.

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Ryan Cotterell, Hinrich Schütze (2018). Joint Semantic Synthesis and Morphological Analysis of the Derived Word. TACL.

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Ryan Cotterell, Julia Kreutzer (2018). Explaining and Generalizing Back-Translation through Wake-Sleep. arXiv.

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Ryan Cotterell, Kevin Duh. (2017). Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. IJCNLP.

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Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky (2017). Paradigm Completion for Derivational Morphology. EMNLP.

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Ryan Cotterell, Georg Heigold (2017). Cross-lingual, Character-Level Neural Morphological Tagging. EMNLP.

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Ryan Cotterell, Jason Eisner (2017). Probabilistic Typology: Deep Generative Models of Vowel Inventories. ACL.

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Katharina Kann, Ryan Cotterell, Hinrich Schütze (2017). One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. ACL.

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Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme (2017). Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. *SEM.

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Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme (2017). Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. Proceedings of the 6th Joint Conference on Lexical and Computational Semantics.

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Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden (2017). CoNLL--SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoNLL.

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Katharina Kann, Ryan Cotterell, Hinrich Schütze (2017). Neural Multi-Source Morphological Reinflection. EACL.

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Ryan Cotterell, John Sylak-Glassman, Christo Kirov (2017). Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion. EACL.

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Arun Kumar, Ryan Cotterell, Lluís Padró, Antoni Oliver (2017). Morphological Analysis of the Dravidian Language Family. EACL.

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Ryan Cotterell, Adam Poliak, Ben Van Durme, Jason Eisner (2017). Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. EACL.

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Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn (2017). Context-Aware Prediction of Derivational Word-forms. EACL.

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Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, Matt Post (2017). A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax. EACL.

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Tim Vieira$^*$, Ryan Cotterell$^*$, Jason Eisner (2016). Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. EMNLP.

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Katharina Kann, Ryan Cotterell, Hinrich Schütze (2016). Neural Morphological Analysis: Encoding-Decoding Canonical Segments. EMNLP.

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Ryan Cotterell, Arun Kumar, Hinrich Schütze (2016). Morphological Segmentation Inside-Out. EMNLP.

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Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, Mans Hulden (2016). The SIGMORPHON 2016 Shared Task—Morphological Reinflection. SIGMORPHON.

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Ryan Cotterell, Hinrich Schütze, Jason Eisner (2016). Morphological Smoothing and Extrapolation of Word Embeddings. ACL.

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Pushpendre Rastogi, Ryan Cotterell, Jason Eisner (2016). Weighting Finite-State Transductions With Neural Context. NAACL.

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Ryan Cotterell, Tim Vieira, Hinrich Schütze (2016). A Joint Model of Orthography and Morphological Segmentation. NAACL.

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John Sylak-Glassman, Ryan Cotterell (2016). Contrastive Morphological Typology and Logical Hierarchies. Chicago Linguistic Society.

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Chandler May, Ryan Cotterell, Benjamin Van Durme (2016). Analysis of Morphology in Topic Modeling. arXiv.

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Thomas Müller, Ryan Cotterell, Alexander Fraser, Hinrich Schütze (2015). Joint Lemmatization and Morphological Tagging with Lemming. EMNLP.

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Nanyun Peng, Ryan Cotterell, Jason Eisner (2015). Dual Decomposition Inference for Graphical Models over Strings. EMNLP.

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Ryan Cotterell, Jason Eisner (2015). Penalized Expectation Propagation for Graphical Models over Strings. NAACL.

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Ryan Cotterell, Hinrich Schütze (2015). Morphological Word Embeddings. NAACL.

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Ryan Cotterell, Thomas Müller, Alexander Fraser, Hinrich Schütze (2015). Labeled Morphological Segmentation with Semi-Markov Models. CoNLL.

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Ryan Cotterell, Nanyun Peng, Jason Eisner (2015). Modeling Word Forms Using Latent Underlying Morphs and Phonology. TACL.

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Ryan Cotterell, Nanyun Peng, Jason Eisner (2014). Stochastic Contextual Edit Distance and Probabilistic FSTs. ACL.

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Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur (2014). Translation of the CALLHOME Egyptian Arabic Corpus For Conversational Speech Translation. IWSLT.

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Ryan Cotterell, Adithya Renduchintala, Naomi Saphra, Chris Callison-Burch (2014). An Algerian Arabic-French Code-Switched Corpus. Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tool 2014.

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Ryan Cotterell, Chris Callison-Burch (2014). A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. LREC.

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