| 61 |
Evaluating Domain-General Learning of Parametric Stress Typology
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 62 |
C-Command Dependencies as TSL String Constraints
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 63 |
Empty Categories Help Parse the Overt
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 64 |
Place and Position are Computationally Different
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 65 |
The organization of sound inventories: A study on obstruent gaps
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 66 |
Developing a real-time translator from neural signals to text: An articulatory phonetics approach
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 67 |
Unsupervised Learning of Cross-Lingual Symbol Embeddings Without Parallel Data
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 68 |
Are All Languages Equally Hard to Language-Model?
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 69 |
Distributional Effects of Gender Contrasts Across Categories
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 70 |
Normalization may be ineffective for phonetic category learning
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 71 |
Re(current) reduplication: Interpretable neural network models of morphological copying
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 72 |
Processing Non-Concatenative Morphology – A Developmental Computational Model
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 73 |
Generative linguistics and neural networks at 60: foundation, friction, and fusion
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In: Joe Pater (2019)
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| 74 |
On Evaluating the Generalization of LSTM Models in Formal Languages
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 75 |
Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 76 |
RedTyp: A Database of Reduplication with Computational Models
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 77 |
What Do Neural Networks Actually Learn, When They Learn to Identify Idioms?
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 78 |
Modeling the Acquisition of Words with Multiple Meanings
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 79 |
Local Processes of Homophone Acquisition
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In: Proceedings of the Society for Computation in Linguistics (2019)
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| 80 |
An Incremental Iterated Response Model of Pragmatics
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In: Proceedings of the Society for Computation in Linguistics (2019)
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