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Learning Additional Languages as Hierarchical Probabilistic Inference

Insights From First Language Processing

Bibliographic Data

ID4502147
AuthorsBożena Pająk (0000-0001-6767-3590, Duolingo (United States), corresponding author), Alex B Fine (Hebrew University of Jerusalem), Dave F Kleinschmidt (University of Rochester), Dave Kleinschmidt (0000-0002-7442-2762, University of Rochester), T Florian Jaeger (0000-0003-1903-7308, University of Rochester)
Year2016
Volume66
Issue4
Pages900-944
Publication date2016-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage Learning (JOURNAL)
Journal identifiersISSN: 0023-8333 • E-ISSN: 1467-9922
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lang.12168
PMID28348442
OpenAlexW2298102808
LanguageEN
Citations received15
References cited148

We present a framework of second and additional language (L2/Ln) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/Ln learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/Ln acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/Ln learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa

Hierarchy · Indexicality · Inference · Language acquisition · Linguistics · Natural language processing · Probabilistic logic · Second-language acquisition · Artificial Intelligence · Computer Science · Language Development and Disorders · Linguistic Variation and Morphology · Phonetics and Phonology Research · Psychology

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Unique citing works15
Citations per year1,36
Citation span2015 - 2025 (11)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 15

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