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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ... Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020 BASE Show details 2 Data for: The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ... Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020 BASE Show details 3 The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ... Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020 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 ... Keyword: 150; Information theory; Language acquisition; Statistical learning; Word segmentation; Zipf's law URL: https://dx.doi.org/10.23668/psycharchives.3075 https://www.psycharchives.org/handle/20.500.12034/2693 BASE Hide details

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