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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 ...
Abstract: Psycholinguistic studies of human word processing and lexical access provide ample evidence of the preferred nature of word-initial versus word-final segments, e.g., in terms of attention paid by listeners (greater) or the likelihood of reduction by speakers (lower). This has led to the conjecture -- as in Wedel et al. (2019b), but common elsewhere -- that languages have evolved to provide more information earlier in words than later. Information-theoretic methods to establish such tendencies in lexicons have suffered from several methodological shortcomings that leave open the question of whether this high word-initial informativeness is actually a property of the lexicon or simply an artefact of the incremental nature of recognition. In this paper, we point out the confounds in existing methods for comparing the informativeness of segments early in the word versus later in the word, and present several new measures that avoid these confounds. When controlling for these confounds, we still find evidence ... : Accepted at EACL 2021. Code is available in https://github.com/tpimentelms/frontload-disambiguation ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2102.02183
https://dx.doi.org/10.48550/arxiv.2102.02183
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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 ...
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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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