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1
Probing for the Usage of Grammatical Number ...
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2
On Homophony and Rényi Entropy ...
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3
Finding Concept-specific Biases in Form--Meaning Associations ...
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4
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ...
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5
Revisiting the Uniform Information Density Hypothesis ...
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6
How (Non-)Optimal is the Lexicon? ...
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7
Disambiguatory Signals are Stronger in Word-initial Positions ...
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8
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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9
Information-Theoretic Probing for Linguistic Structure ...
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10
A Corpus for Large-Scale Phonetic Typology ...
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11
Phonotactic Complexity and its Trade-offs ...
Abstract: We present methods for calculating a measure of phonotactic complexity---bits per phoneme---that permits a straightforward cross-linguistic comparison. When given a word, represented as a sequence of phonemic segments such as symbols in the international phonetic alphabet, and a statistical model trained on a sample of word types from the language, we can approximately measure bits per phoneme using the negative log-probability of that word under the model. This simple measure allows us to compare the entropy across languages, giving insight into how complex a language's phonotactics are. Using a collection of 1016 basic concept words across 106 languages, we demonstrate a very strong negative correlation of -0.74 between bits per phoneme and the average length of words. ... : Published in TACL: https://doi.org/10.1162/tacl_a_00296 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2005.03774
https://dx.doi.org/10.48550/arxiv.2005.03774
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12
Predicting Declension Class from Form and Meaning ...
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13
Pareto Probing: Trading Off Accuracy for Complexity ...
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14
A Tale of a Probe and a Parser ...
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