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ResearchGate Data
Conference object . 2020
Data sources: Datacite
DBLP
Conference object
Data sources: DBLP
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Lexical Diversity and Language Development

Authors: Yu, Yawen; Yurovsky, Dan;

Lexical Diversity and Language Development

Abstract

Previous research has demonstrated a relationship between quantity of language input and childrens rate of languagedevelopment: Children who hear more words learn faster. This work takes on two mutually-constraining questions:(1) How should we define quality, and (2) what is the relationship between input quality and language development?We analyzed a longitudinal corpus of interactions between 50 children and their parents using four measures of lexicaldiversity: Type Token Ratio (TTR), Moving Average TTR, and two more recent measuresvocd-D and MTLD. We foundthat only MTLD gave a prima-facie correct characterization of childrens development, and parents MTLD was correlatedwith childrens over development. Results of simulations showed that MTLD was distinct from the other measures in itssensitivity to both lexical diversity and word order, suggesting that quality should be defined not just by diversity of words,but also by the variability of sentence structures in which they occur.

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United States
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green