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Words with Consistent Diachronic Usage Patterns Are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings
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Cassani, Giovanni; Bianchi, Federico; Marelli, Marco – Cognitive Science, 2021
In 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,…
Descriptors: English, Language Usage, Language Acquisition, Computational Linguistics