| Probing RNN encoder-decoder generalization of subregular functions using reduplication M Nelson, H Dolatian, J Rawski, B Prickett Proceedings of the Society for Computation in Linguistics 2020, 167-178, 2020 | 16 | 2020 |
| Seq2Seq models with dropout can learn generalizable reduplication B Prickett, A Traylor, J Pater Proceedings of the fifteenth workshop on computational research in phonetics …, 2018 | 15 | 2018 |
| Emergent positional privilege in novel English blends E Moreton, JL Smith, K Pertsova, R Broad, B Prickett Language 93 (2), 347-380, 2017 | 14 | 2017 |
| Learning biases in opaque interactions B Prickett Phonology 36 (4), 627-653, 2019 | 9 | 2019 |
| Learning exceptionality and variation with lexically scaled MaxEnt C Hughto, A Lamont, B Prickett, G Jarosz Proceedings of the Society for Computation in Linguistics (SCiL) 2019, 91-101, 2019 | 7 | 2019 |
| Emergent faithfulness to proper nouns in novel English blends R Broad, B Prickett, E Moreton, K Pertsova, JL Smith Proceedings of WCCFL 33, 77-87, 2016 | 7 | 2016 |
| Vanilla sequence-to-sequence neural nets cannot model reduplication B Prickett | 6 | 2017 |
| Complexity and naturalness biases in phonotactics: Hayes and White (2013) revisited B Prickett Proceedings of the Annual Meetings on Phonology 5, 2018 | 4 | 2018 |
| Learning Hidden Structure with Maximum Entropy Grammar B Prickett, J Pater 27th Manchester Phonology Meeting, 2019 | 3 | 2019 |
| Similarity-based phonological generalization B Prickett Proceedings of the Society for Computation in Linguistics 1 (1), 193-196, 2018 | 3 | 2018 |
| Complexity and naturalness in first language and second language phonotactic learning B Prickett The University of North Carolina at Chapel Hill, 2015 | 3 | 2015 |
| The effect of complexity versus the effect of naturalness on phonological learning B Prickett | 3 | 2014 |
| Learning repetition, but not syllable reversal E Moreton, B Prickett, K Pertsova, J Fennell, J Pater, L Sanders Proceedings of the Annual Meetings on Phonology 8, 2021 | 2 | 2021 |
| Modelling a subregular bias in phonological learning with Recurrent Neural Networks B Prickett Journal of Language Modelling 9, 2021 | 2 | 2021 |
| Learning syntactic parameters without triggers by assigning credit and blame B Prickett, K Holladay, S Hucklebridge, M Nelson, R Bhatt, G Jarosz, ... Chicago Linguistic Society 55, 2020 | 2 | 2020 |
| Post-nasal devoicing as opacity: A problem for natural constraints B Prickett Proceedings of the 35th West Coast Conference on Formal Linguistics, edited …, 2017 | 2 | 2017 |
| Learning reduplication with a neural network that lacks explicit variables B Prickett, A Traylor, J Pater Journal of Language Modelling 10 (1), 1–38-1–38, 2022 | 1 | 2022 |
| Modeling the Acquisition of Phonological Interactions: Biases and Generalization B Prickett, G Jarosz Proceedings of the Annual Meetings on Phonology 8, 2021 | 1 | 2021 |
| LEARNING PHONOLOGY WITH SEQUENCE-TO-SEQUENCE NEURAL NETWORKS B Prickett | 1 | 2021 |
| Variables must be limited to a single feature B Prickett Proceedings of the Annual Meetings on Phonology 7, 2020 | 1 | 2020 |
