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Autor/inn/enCassani, Giovanni; Bianchi, Federico; Marelli, Marco
TitelWords with Consistent Diachronic Usage Patterns Are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings
QuelleIn: Cognitive Science, 45 (2021) 4, (29 Seiten)
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ZusatzinformationORCID (Cassani, Giovanni)
ORCID (Bianchi, Federico)
ORCID (Marelli, Marco)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1551-6709
DOI10.1111/cogs.12963
SchlagwörterEnglish; Language Usage; Language Acquisition; Computational Linguistics; Psycholinguistics; Language Variation; Language Processing; Orthographic Symbols; Lexicology
AbstractIn this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition ("AoA") while controlling for frequency, contextual diversity, concreteness, length, dominant part of speech, orthographic neighborhood density, and diachronic frequency variation. We analyze measures of language change tackling both the change in lexical representations and the change in the relation between lexical representations and the words with the most similar usage patterns, showing that they capture different aspects of language change. Our results show a unique relation between language change and "AoA," which is stronger when considering neighborhood-level measures of language change: Words with more coherent diachronic usage patterns tend to be acquired earlier. The results support theories positing a link between ontogenetic and ethnogenetic processes in language. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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