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1
Probing for the Usage of Grammatical Number ...
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On Homophony and Rényi Entropy ...
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On Homophony and Rényi Entropy ...
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4
Revisiting the Uniform Information Density Hypothesis ...
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5
Revisiting the Uniform Information Density Hypothesis ...
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6
Modeling the Unigram Distribution ...
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7
A Bayesian Framework for Information-Theoretic Probing ...
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8
A surprisal--duration trade-off across and within the world's languages ...
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9
Revisiting the Uniform Information Density Hypothesis ...
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10
What About the Precedent: An Information-Theoretic Analysis of Common Law ...
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11
Modeling the Unigram Distribution ...
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12
Finding Concept-specific Biases in Form–Meaning Associations ...
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13
Modeling the Unigram Distribution
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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14
What About the Precedent: An Information-Theoretic Analysis of Common Law
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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15
Finding Concept-specific Biases in Form–Meaning Associations
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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16
A Non-Linear Structural Probe
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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17
Disambiguatory Signals are Stronger in Word-initial Positions
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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18
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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19
A Bayesian Framework for Information-Theoretic Probing
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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20
How (Non-)Optimal is the Lexicon? ...
Abstract: Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.350/ Abstract: The mapping of lexical meanings to wordforms is a major feature of natural languages. While usage pressures might assign short words to frequent meanings (Zipf's law of abbreviation), the need for a productive and open-ended vocabulary, local constraints on sequences of symbols, and various other factors all shape the lexicons of the world's languages. Despite their importance in shaping lexical structure, the relative contributions of these factors have not been fully quantified. Taking a coding-theoretic view of the lexicon and making use of a novel generative statistical model, we define upper bounds for the compressibility of the lexicon under various constraints. Examining corpora from 7 typologically diverse languages, we use those upper bounds to quantify the lexicon's optimality and to explore the relative costs of major constraints on natural codes. We find that (compositional) morphology and ...
Keyword: Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing; Psycholinguistics
URL: https://underline.io/lecture/19657-how-(non-)optimal-is-the-lexiconquestion
https://dx.doi.org/10.48448/2k0n-9h10
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