The greedy and recursive search for morphological productivity C Belth, S Payne, D Beser, J Kodner, C Yang arXiv preprint arXiv:2105.05790, 2021 | 32 | 2021 |
Estimating child linguistic experience from historical corpora J Kodner Glossa: a journal of general linguistics 4 (1), 2019 | 27 | 2019 |
Miller's monkey updated: Communicative efficiency and the statistics of words in natural language S Caplan, J Kodner, C Yang Cognition 205, 104466, 2020 | 26 | 2020 |
Language acquisition in the past J Kodner University of Pennsylvania, 2020 | 22 | 2020 |
Bootstrapping transliteration with constrained discovery for low-resource languages S Upadhyay, J Kodner, D Roth arXiv preprint arXiv:1809.07807, 2018 | 17 | 2018 |
Modeling morphological typology for unsupervised learning of language morphology H Xu, J Kodner, M Marcus, C Yang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 16 | 2020 |
Overestimation of Syntactic Representationin Neural Language Models J Kodner, N Gupta arXiv preprint arXiv:2004.05067, 2020 | 15 | 2020 |
What learning Latin verbal morphology tells us about morphological theory J Kodner Natural Language & Linguistic Theory 41 (2), 733-792, 2023 | 11 | 2023 |
SIGMORPHON–UniMorph 2022 shared task 0: Modeling inflection in language acquisition J Kodner, S Khalifa Proceedings of the 19th sigmorphon workshop on computational research in …, 2022 | 11 | 2022 |
Transparent/aı/-raising as a contact phenomenon J Kodner, C Richter University of Pennsylvania Working Papers in Linguistics, 25 (2), 2019 | 10 | 2019 |
Learning morphological productivity as meaning-form mappings SR Payne, J Kodner, C Yang Society for Computation in Linguistics 4 (1), 2021 | 8 | 2021 |
Why linguistics will thrive in the 21st century: A reply to Piantadosi (2023) J Kodner, S Payne, J Heinz arXiv preprint arXiv:2308.03228, 2023 | 7 | 2023 |
Abstractions are good for brains and machines: A commentary on Ambridge (2020) KD Schuler, J Kodner, S Caplan First Language 40 (5-6), 631-635, 2020 | 6 | 2020 |
Morphological segmentation for low resource languages J Mott, A Bies, S Strassel, J Kodner, C Richter, H Xu, M Marcus Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 6 | 2020 |
Computational models of morphological learning J Kodner Oxford Research Encyclopedia of Linguistics, 2022 | 5 | 2022 |
A framework for representing language acquisition in a population setting J Kodner, CC Falco Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 5 | 2018 |
Morphological inflection: A reality check J Kodner, S Payne, S Khalifa, Z Liu arXiv preprint arXiv:2305.15637, 2023 | 4 | 2023 |
SIGMORPHON–UniMorph 2022 shared task 0: generalization and typologically diverse morphological inflection J Kodner, S Khalifa, K Batsuren, H Dolatian, R Cotterell, F Akkuş, ... Proceedings of the 19th sigmorphon workshop on computational research in …, 2022 | 4 | 2022 |
Evaluating neural language models as cognitive models of language acquisition HJV Martínez, AL Heuser, C Yang, J Kodner arXiv preprint arXiv:2310.20093, 2023 | 3 | 2023 |
Towards learning Arabic morphophonology S Khalifa, J Kodner, O Rambow Proceedings of the Seventh Arabic Natural Language Processing Workshop …, 2022 | 3 | 2022 |