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1
Probing for the Usage of Grammatical Number ...
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2
Estimating the Entropy of Linguistic Distributions ...
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3
A Latent-Variable Model for Intrinsic Probing ...
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4
On Homophony and Rényi Entropy ...
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5
On Homophony and Rényi Entropy ...
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On Homophony and Rényi Entropy ...
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7
Towards Zero-shot Language Modeling ...
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Differentiable Generative Phonology ...
Abstract: The goal of generative phonology, as formulated by Chomsky and Halle (1968), is to specify a formal system that explains the set of attested phonological strings in a language. Traditionally, a collection of rules (or constraints, in the case of optimality theory) and underlying forms (UF) are posited to work in tandem to generate phonological strings. However, the degree of abstraction of UFs with respect to their concrete realizations is contentious. As the main contribution of our work, we implement the phonological generative system as a neural model differentiable end-to-end, rather than as a set of rules or constraints. Contrary to traditional phonology, in our model, UFs are continuous vectors in $\mathbb{R}^d$, rather than discrete strings. As a consequence, UFs are discovered automatically rather than posited by linguists, and the model can scale to the size of a realistic vocabulary. Moreover, we compare several modes of the generative process, contemplating: i) the presence or absence of an ... : Work in progress ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2102.05717
https://arxiv.org/abs/2102.05717
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9
Finding Concept-specific Biases in Form--Meaning Associations ...
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10
Searching for Search Errors in Neural Morphological Inflection ...
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11
Applying the Transformer to Character-level Transduction ...
Wu, Shijie; Cotterell, Ryan; Hulden, Mans. - : ETH Zurich, 2021
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12
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ...
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13
Probing as Quantifying Inductive Bias ...
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14
Revisiting the Uniform Information Density Hypothesis ...
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15
Revisiting the Uniform Information Density Hypothesis ...
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16
Conditional Poisson Stochastic Beams ...
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17
Examining the Inductive Bias of Neural Language Models with Artificial Languages ...
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18
Modeling the Unigram Distribution ...
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19
Language Model Evaluation Beyond Perplexity ...
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20
Differentiable Subset Pruning of Transformer Heads ...
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