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Learning Stress Patterns with a Sequence-to-Sequence Neural Network
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In: Proceedings of the Society for Computation in Linguistics (2022)
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2 |
Learning Repetition, but not Syllable Reversal
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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4 |
French schwa and gradient cumulativity
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In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 24 ; 2397-1835 (2020)
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5 |
Assimilation triggers metathesis in Balantak: Implications for theories of possible repair in Optimality Theory
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In: University of Massachusetts Occasional Papers in Linguistics (2020)
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8 |
Learning Reduplication with a Neural Network without Explicit Variables
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In: Joe Pater (2019)
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9 |
Phonological typology in Optimality Theory and Formal Language Theory: Goals and future directions
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In: Joe Pater (2019)
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10 |
Learning syntactic parameters without triggers by assigning credit and blame
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In: Joe Pater (2019)
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11 |
Generative linguistics and neural networks at 60: foundation, friction, and fusion
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In: Joe Pater (2019)
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12 |
Preface: SCiL 2019 Editors’ Note
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In: Proceedings of the Society for Computation in Linguistics (2019)
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13 |
Substance matters: A reply to Jardine 2016
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In: Joe Pater (2018)
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14 |
Seq2Seq Models with Dropout can Learn Generalizable Reduplication
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In: Joe Pater (2018)
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15 |
Preface: SCiL 2018 Editors’ Note
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In: Proceedings of the Society for Computation in Linguistics (2018)
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20 |
Gradient Exceptionality in Maximum Entropy Grammar with Lexically Specific Constraints
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