Computational approaches to word retrieval in bilinguals

The cognitive architecture of human language processing has been studied for decades, but using computational modeling for such studies is a relatively recent topic. Indeed, computational approaches to language processing have become increasingly popular in our field, mainly due to advances in compu...

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Bibliographic Details
Published inBilingualism (Cambridge, England) Vol. 22; no. 4; pp. 655 - 656
Main Authors ABUTALEBI, JUBIN, CLAHSEN, HARALD
Format Journal Article
LanguageEnglish
Published Cambridge Cambridge University Press 01.08.2019
Subjects
Behavior Patterns
Bilingualism
Child language
Individual Differences
Interference (Language)
Language acquisition
Language Dominance
Language Enrichment
Language processing
Language thought relationship
Lexical access
Literature Appreciation
Monolingualism
Multilingualism
Positive Reinforcement
Psychological Patterns
Semantics
Simulation
Translation
Word processing
Word Recognition
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Summary:The cognitive architecture of human language processing has been studied for decades, but using computational modeling for such studies is a relatively recent topic. Indeed, computational approaches to language processing have become increasingly popular in our field, mainly due to advances in computational modeling techniques and the availability of large collections of experimental data. Language learning, particularly child language learning, has been the subject of many computational models. By simulating the process of child language learning, computational models may indeed teach us which linguistic representations are learnable from the input that children have access to (and which are not), as well as which mechanisms yield the same patterns of behavior that are found in children's language performance.
Bibliography:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:1366-7289
1469-1841
DOI:10.1017/S1366728919000221