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An Evaluation of the Celtic Hypothesis for Brythonic Celtic influence on Early English
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| 82 |
Data for: A Hybrid Optimization Methodology for Indicating Optimal Operating Conditions for Carbon Dioxide Injection in Geologic Carbon Sequestration ...
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| 84 |
Data for: Multiple Equilibrium Behaviors of Auto Travellers And A Freight Carrier Under the Cordon-Based Large-Truck Restriction Regulation ...
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| 85 |
Data for: Agroecological food web modelling to evaluate and design agricultural systems ...
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| 86 |
Data for: A Hybrid Optimization Methodology for Indicating Optimal Operating Conditions for Carbon Dioxide Injection in Geologic Carbon Sequestration ...
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| 87 |
Code and Data for: MINERVA-DE: An Instance Model of the Deficient Processing Theory ...
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| 88 |
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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| 89 |
Data for: A Hybrid Optimization Methodology for Indicating Optimal Operating Conditions for Carbon Dioxide Injection in Geologic Carbon Sequestration ...
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| 90 |
Data for: A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes ...
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| 92 |
Data for: The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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| 93 |
Data for: A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes ...
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| 94 |
Data for: Agroecological food web modelling to evaluate and design agricultural systems ...
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| 95 |
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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Abstract:
One of the striking commonalities between languages is the way word frequencies are distributed. Across languages, word frequencies follow a Zipfian distribution, showing a power law relation between a word's frequency and its rank (Zipf, 1949). Intuitively, this means that languages have relatively few high-frequency words and many low-frequency ones. While studied extensively, little work has explored the learnability consequences of the greater predictability of words in such distributions. Here, we propose such distributions confer a learnability advantage for word segmentation, a foundational aspect of language acquisition. We capture the greater predictability of words using the information-theoretic notion of efficiency, which tells us how predictable a distribution is relative to a uniform one. We first use corpus analyses to show that child-directed speech is similarly predictable across fifteen different languages. We then experimentally investigate the impact of distribution predictability on ...
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Keyword:
150; Information theory; Language acquisition; Statistical learning; Word segmentation; Zipf's law
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URL: https://dx.doi.org/10.23668/psycharchives.3075
https://www.psycharchives.org/handle/20.500.12034/2693
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| 96 |
Code and Data for: MINERVA-DE: An Instance Model of the Deficient Processing Theory ...
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| 97 |
Data for: Multiple Equilibrium Behaviors of Auto Travellers And A Freight Carrier Under the Cordon-Based Large-Truck Restriction Regulation ...
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| 98 |
Tracking Syntactic Conflict Between Languages over the Course of L2 Acquisition: A Cross-Sectional ERP Study ...
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| 99 |
Multiple Grammars and L2 Optionality: The Case of Acquisition at the External Interface ...
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