Artigo Acesso aberto Revisado por pares

From Klingon to Colbertian: Using Artificial Languages to Study Word Learning

2019; Cambridge University Press; Volume: 23; Issue: 1 Linguagem: Inglês

10.1017/s1366728919000592

ISSN

1469-1841

Autores

Sayuri Hayakawa, Siqi Ning, Viorica Marian,

Tópico(s)

Second Language Acquisition and Learning

Resumo

Abstract Vocabulary acquisition is a critical part of learning a new language. Yet, due to structural, historical, and individual variability associated with natural languages, isolating the impact of specific factors on word learning can be challenging. Artificial languages are versatile tools for addressing this problem, allowing researchers to systematically manipulate properties of the language and control for learners’ past experiences. Here, we review how artificial languages have been used to study bilingual word learning, with a particular focus on the influences of language input (e.g., word properties) and language experience (e.g., bilingualism). We additionally discuss the advantages and limitations of artificial languages for bilingual research and suggest resources for researchers considering the use of artificial languages. Used and interpreted properly, artificial language studies can inform our understanding of a wide range of factors relevant to word learning.

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