Ryan Cotterell

Orcid: 0000-0003-4080-1833

Affiliations:
  • ETH Zurich, Switzerland


According to our database1, Ryan Cotterell authored at least 253 papers between 2014 and 2024.

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Bibliography

2024
The Ethics of Automating Legal Actors.
Trans. Assoc. Comput. Linguistics, 2024

Can Transformers Learn <i>n</i>-gram Language Models?
CoRR, 2024

Do Language Models Have a Critical Period for Language Acquisition?
CoRR, 2024

The Foundations of Tokenization: Statistical and Computational Concerns.
CoRR, 2024

Blow-up in Non-Deterministic Automata.
CoRR, 2024

Variational Best-of-N Alignment.
CoRR, 2024

A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors.
CoRR, 2024

Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon.
CoRR, 2024

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.
CoRR, 2024

On Affine Homotopy between Language Encoders.
CoRR, 2024

Transformers Can Represent <i>n</i>-gram Language Models.
CoRR, 2024

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.
CoRR, 2024

NARRATE: Versatile Language Architecture for Optimal Control in Robotics.
CoRR, 2024

On the Challenges and Opportunities in Generative AI.
CoRR, 2024

A Theoretical Result on the Inductive Bias of RNN Language Models.
CoRR, 2024

What Changed? Converting Representational Interventions to Natural Language.
CoRR, 2024

MiMiC: Minimally Modified Counterfactuals in the Representation Space.
CoRR, 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), 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), 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), 2024

The Role of n-gram Smoothing in the Age of Neural Networks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Transformer with Stack Attention.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Representation Surgery: Theory and Practice of Affine Steering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Principled Gradient-Based MCMC for Conditional Sampling of Text.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Transformers Learn n-gram Language Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Activation Scaling for Steering and Interpreting Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

An L* Algorithm for Deterministic Weighted Regular Languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Role of Context in Reading Time Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reverse-Engineering the Reader.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generalized Measures of Anticipation and Responsivity in Online Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Proper Treatment of Tokenization in Psycholinguistics.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Efficiently Computing Susceptibility to Context in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On Efficiently Representing Regular Languages as RNNs.
Proceedings of the Findings of the Association for Computational Linguistics, 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), 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), 2024

Context versus Prior Knowledge in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

When is a Language Process a Language Model?
Proceedings of the Findings of the Association for Computational Linguistics, 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), 2024

Direct Preference Optimization with an Offset.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A taxonomy and review of generalization research in NLP.
Nat. Mac. Intell., October, 2023

Visual Comparison of Language Model Adaptation.
IEEE Trans. Vis. Comput. Graph., 2023

Testing the Predictions of Surprisal Theory in 11 Languages.
Trans. Assoc. Comput. Linguistics, 2023

On the Role of Negative Precedent in Legal Outcome Prediction.
Trans. Assoc. Comput. Linguistics, 2023

On the Effect of Anticipation on Reading Times.
Trans. Assoc. Comput. Linguistics, 2023

Locally Typical Sampling.
Trans. Assoc. Comput. Linguistics, 2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order.
Trans. Assoc. Comput. Linguistics, 2023

Naturalistic Causal Probing for Morpho-Syntax.
Trans. Assoc. Comput. Linguistics, 2023

Principled Gradient-based Markov Chain Monte Carlo for Text Generation.
CoRR, 2023

Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective.
CoRR, 2023

Formal Aspects of Language Modeling.
CoRR, 2023

An Analysis of On-the-fly Determinization of Finite-state Automata.
CoRR, 2023

A Geometric Notion of Causal Probing.
CoRR, 2023

Learning the String Partial Order.
CoRR, 2023

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations.
CoRR, 2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text.
CoRR, 2023

Efficient Prompting via Dynamic In-Context Learning.
CoRR, 2023

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus.
CoRR, 2023

Discriminative Class Tokens for Text-to-Image Diffusion Models.
CoRR, 2023

LEACE: Perfect linear concept erasure in closed form.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Voronoi Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controlled Text Generation with Natural Language Instructions.
Proceedings of the International Conference on Machine Learning, 2023

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying the redundancy between prosody and text.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Recurrent Neural Language Models as Probabilistic Finite-state Automata.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Exploration of Left-Corner Transformations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Representational Capacity of Recurrent Neural Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sentiment as an Ordinal Latent Variable.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 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, 2023

The Ordered Matrix Dirichlet for State-Space Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Generating Text from Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

A Formal Perspective on Byte-Pair Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tokenization and the Noiseless Channel.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

An Ordinal Latent Variable Model of Conflict Intensity.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Linear Guardedness and its Implications.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Efficient Semiring-Weighted Earley Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

On the Efficacy of Sampling Adapters.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generalizing Backpropagation for Gradient-Based Interpretability.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Measure-Theoretic Characterization of Tight Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Convergence and Diversity in the Control Hierarchy.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hexatagging: Projective Dependency Parsing as Tagging.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

A Latent-Variable Model for Intrinsic Probing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On Decoding Strategies for Neural Text Generators.
Trans. Assoc. Comput. Linguistics, 2022

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics.
CoRR, 2022

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition.
CoRR, 2022

The Architectural Bottleneck Principle.
CoRR, 2022

Autoregressive Structured Prediction with Language Models.
CoRR, 2022

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems.
CoRR, 2022

A Bilingual Parallel Corpus with Discourse Annotations.
CoRR, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.
CoRR, 2022

Learning Transductions to Test Systematic Compositionality.
CoRR, 2022

The SIGMORPHON 2022 Shared Task on Morpheme Segmentation.
CoRR, 2022

Cluster-based Evaluation of Automatically Generated Text.
CoRR, 2022

On the probability-quality paradox in language generation.
CoRR, 2022

Typical Decoding for Natural Language Generation.
CoRR, 2022

On Interpretable Reranking-Based Dependency Parsing Systems.
Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 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, 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, 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, 2022

A Structured Span Selector.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Probing via Prompting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, 2022

UniMorph 4.0: Universal Morphology.
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Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Linear Adversarial Concept Erasure.
Proceedings of the International Conference on Machine Learning, 2022

Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adversarial Concept Erasure in Kernel Space.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Mutual Information Alleviates Hallucinations in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Attentional Probe: Estimating a Module's Functional Potential.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Autoregressive Structured Prediction with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Algorithms for Weighted Pushdown Automata.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Parsing as Tagging.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Equivariant Transduction through Invariant Alignment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Benchmarking Compositionality with Formal Languages.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

High probability or low information? The probability-quality paradox in language generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Analyzing Wrap-Up Effects through an Information-Theoretic Lens.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing for the Usage of Grammatical Number.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Probing as Quantifying Inductive Bias.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Estimating the Entropy of Linguistic Distributions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Efficient Computation of Expectations under Spanning Tree Distributions.
Trans. Assoc. Comput. Linguistics, 2021

On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs.
Trans. Assoc. Comput. Linguistics, 2021

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages.
Trans. Assoc. Comput. Linguistics, 2021

Differentiable Subset Pruning of Transformer Heads.
Trans. Assoc. Comput. Linguistics, 2021

Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs.
Trans. Assoc. Comput. Linguistics, 2021

A Word on Machine Ethics: A Response to Jiang et al. (2021).
CoRR, 2021

Probing as Quantifying the Inductive Bias of Pre-trained Representations.
CoRR, 2021

Conditional Poisson Stochastic Beam Search.
CoRR, 2021

Efficient Sampling of Dependency Structures.
CoRR, 2021

SIGTYP 2021 Shared Task: Robust Spoken Language Identification.
CoRR, 2021

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.
CoRR, 2021

Differentiable Generative Phonology.
CoRR, 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, 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, 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, 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, 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, 2021

Efficient Sampling of Dependency Structure.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Searching for More Efficient Dynamic Programs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Classifying Dyads for Militarized Conflict Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On Homophony and Rényi Entropy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A surprisal-duration trade-off across and within the world's languages.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Bayesian Framework for Information-Theoretic Probing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Plug-and-Play Method for Controlled Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Conditional Poisson Stochastic Beams.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Applying the Transformer to Character-level Transduction.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Disambiguatory Signals are Stronger in Word-initial Positions.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Searching for Search Errors in Neural Morphological Inflection.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Higher-order Derivatives of Weighted Finite-state Machines.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On Finding the K-best Non-projective Dependency Trees.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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 11th International Joint Conference on Natural Language Processing, 2021

A Cognitive Regularizer for Language Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modeling the Unigram Distribution.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Is Sparse Attention more Interpretable?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Determinantal Beam Search.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Language Model Evaluation Beyond Perplexity.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Phonotactic Complexity and its Trade-offs.
Trans. Assoc. Comput. Linguistics, 2020

Best-First Beam Search.
Trans. Assoc. Comput. Linguistics, 2020

Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs.
CoRR, 2020

SIGTYP 2020 Shared Task: Prediction of Typological Features.
CoRR, 2020



Please Mind the Root: Decoding Arborescences for Dependency Parsing.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Pareto Probing: Trading Off Accuracy for Complexity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Speakers Fill Lexical Semantic Gaps with Context.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

If beam search is the answer, what was the question?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Intrinsic Probing through Dimension Selection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Morphologically Aware Word-Level Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Predicting Declension Class from Form and Meaning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Corpus for Large-Scale Phonetic Typology.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Information-Theoretic Probing for Linguistic Structure.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Tale of a Probe and a Parser.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

The Paradigm Discovery Problem.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Metaphor Detection using Context and Concreteness.
Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019
On the Complexity and Typology of Inflectional Morphological Systems.
Trans. Assoc. Comput. Linguistics, 2019

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection.
CoRR, 2019

Gender Bias in Contextualized Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Contextualization of Morphological Inflection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Simple Joint Model for Improved Contextual Neural Lemmatization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On the Idiosyncrasies of the Mandarin Chinese Classifier System.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Probabilistic Generative Model of Linguistic Typology.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Examining Gender Bias in Languages with Grammatical Gender.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Quantifying the Semantic Core of Gender Systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Zero-shot Language Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Weird Inflects but OK: Making Sense of Morphological Generation Errors.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Morphological Irregularity Correlates with Frequency.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exact Hard Monotonic Attention for Character-Level Transduction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Meaning to Form: Measuring Systematicity as Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

What Kind of Language Is Hard to Language-Model?
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Uncovering Probabilistic Implications in Typological Knowledge Bases.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Rethinking Phonotactic Complexity.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate.
Trans. Assoc. Comput. Linguistics, 2018

Joint Semantic Synthesis and Morphological Analysis of the Derived Word.
Trans. Assoc. Comput. Linguistics, 2018

Explaining and Generalizing Back-Translation through Wake-Sleep.
CoRR, 2018

On the Diachronic Stability of Irregularity in Inflectional Morphology.
CoRR, 2018

Are All Languages Equally Hard to Language-Model?
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Unsupervised Disambiguation of Syncretism in Inflected Lexicons.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Deep Generative Model of Vowel Formant Typology.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

UniMorph 2.0: Universal Morphology.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Hard Non-Monotonic Attention for Character-Level Transduction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection.
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31, 2018

Marrying Universal Dependencies and Universal Morphology.
Proceedings of the Second Workshop on Universal Dependencies, 2018

A Structured Variational Autoencoder for Contextual Morphological Inflection.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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, 2017

Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Paradigm Completion for Derivational Morphology.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cross-lingual Character-Level Neural Morphological Tagging.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Multi-Source Morphological Reinflection.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Morphological Analysis of the Dravidian Language Family.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Context-Aware Prediction of Derivational Word-forms.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages.
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Probabilistic Typology: Deep Generative Models of Vowel Inventories.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Analysis of Morphology in Topic Modeling.
CoRR, 2016

The SIGMORPHON 2016 Shared Task - Morphological Reinflection.
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, 2016

Weighting Finite-State Transductions With Neural Context.
Proceedings of the NAACL HLT 2016, 2016

A Joint Model of Orthography and Morphological Segmentation.
Proceedings of the NAACL HLT 2016, 2016

Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Morphological Analysis: Encoding-Decoding Canonical Segments.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Morphological Segmentation Inside-Out.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Morphological Smoothing and Extrapolation of Word Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Modeling Word Forms Using Latent Underlying Morphs and Phonology.
Trans. Assoc. Comput. Linguistics, 2015

Morphological Word-Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Penalized Expectation Propagation for Graphical Models over Strings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Dual Decomposition Inference for Graphical Models over Strings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Lemmatization and Morphological Tagging with Lemming.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Labeled Morphological Segmentation with Semi-Markov Models.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014
A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Translations of the Callhome Egyptian Arabic corpus for conversational speech translation.
Proceedings of the 11th International Workshop on Spoken Language Translation: Papers, 2014

Stochastic Contextual Edit Distance and Probabilistic FSTs.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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