Jordan Kodner

According to our database, Jordan Kodner authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating LLMs with Multiple Problems at once: A New Paradigm for Probing LLM Capabilities.

Zhengxiang Wang, Jordan Kodner, Owen Rambow

CoRR, 2024

2023

Evaluating Neural Language Models as Cognitive Models of Language Acquisition.

Héctor Javier Vázquez Martínez, Annika Lea Heuser, Charles Yang, Jordan Kodner

CoRR, 2023

Exploring Linguistic Probes for Morphological Generalization.

Jordan Kodner, Salam Khalifa, Sarah R. B. Payne

CoRR, 2023

Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023).

Jordan Kodner, Sarah R. B. Payne, Jeffrey Heinz

CoRR, 2023

Exploring Linguistic Probes for Morphological Inflection.

Jordan Kodner, Salam Khalifa, Sarah Ruth Brogden Payne

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Re-Evaluating the Evaluation of Neural Morphological Inflection Models.

Jordan Kodner, Salam Khalifa, Sarah R. B. Payne, Zoey Liu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Morphological Inflection: A Reality Check.

Jordan Kodner, Sarah R. B. Payne, Salam Khalifa, Zoey Liu

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

A Cautious Generalization Goes a Long Way: Learning Morphophonological Rules.

Salam Khalifa, Sarah R. B. Payne, Jordan Kodner, Ellen Broselow, Owen Rambow

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

2022

Towards Learning Arabic Morphophonology.

Salam Khalifa, Jordan Kodner, Owen Rambow

Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

Language Acquisition, Neutral Change, and Diachronic Trends in Noun Classifiers.

Aniket Kali, Jordan Kodner

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022

2021

The Greedy and Recursive Search for Morphological Productivity.

Caleb Belth, Sarah R. B. Payne, Deniz Beser, Jordan Kodner, Charles Yang

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Overestimation of Syntactic Representationin Neural Language Models.

Jordan Kodner, Nitish Gupta

CoRR, 2020

Morphological Segmentation for Low Resource Languages.

Justin Mott, Ann Bies, Stephanie M. Strassel, Jordan Kodner, Caitlin Richter, Hongzhi Xu, Mitchell Marcus

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Modeling Morphological Typology for Unsupervised Learning of Language Morphology.

Hongzhi Xu, Jordan Kodner, Mitchell Marcus, Charles Yang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Overestimation of Syntactic Representation in Neural Language Models.

Jordan Kodner, Nitish Gupta

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages.

Shyam Upadhyay, Jordan Kodner, Dan Roth

CoRR, 2018

Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages.

Shyam Upadhyay, Jordan Kodner, Dan Roth

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Acquisition of Vowel Harmony from Simple Local Statistics.

Spencer Caplan, Jordan Kodner

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

A Framework for Representing Language Acquisition in a Population Setting.

Jordan Kodner, Christopher Cerezo Falco

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

The Impact of Population Structure on Models of Language Change.

Jordan Kodner, Christopher Cerezo Falco

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Vowel Harmony as a Distributional Learning Problem.

Spencer Caplan, Jordan Kodner

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017