Rights statement: This is the peer reviewed version of the following article: Monaghan, P. and Rowland, C. F. (2017), Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research. Language Learning, 67: 14-39. doi:10.1111/lang.12221 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/lang.12221/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Review article › peer-review
Research output: Contribution to Journal/Magazine › Review article › peer-review
}
TY - JOUR
T1 - Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research
AU - Monaghan, Padraic
AU - Rowland, Caroline F.
N1 - This is the peer reviewed version of the following article: Monaghan, P. and Rowland, C. F. (2017), Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research. Language Learning, 67: 14-39. doi:10.1111/lang.12221 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/lang.12221/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2017/6
Y1 - 2017/6
N2 - Historically, first language acquisition research was a painstaking process of observation, requiring the laborious hand coding of children's linguistic productions, followed by the generation of abstract theoretical proposals for how the developmental process unfolds. Recently, the ability to collect large-scale corpora of children's language exposure has revolutionized the field. New techniques enable more precise measurements of children's actual language input, and these corpora constrain computational and cognitive theories of language development, which can then generate predictions about learning behavior. We describe several instances where corpus, computational, and experimental work have been productively combined to uncover the first language acquisition process and the richness of multimodal properties of the environment, highlighting how these methods can be extended to address related issues in second language research. Finally, we outline some of the difficulties that can be encountered when applying multimethod approaches and show how these difficulties can be obviated.
AB - Historically, first language acquisition research was a painstaking process of observation, requiring the laborious hand coding of children's linguistic productions, followed by the generation of abstract theoretical proposals for how the developmental process unfolds. Recently, the ability to collect large-scale corpora of children's language exposure has revolutionized the field. New techniques enable more precise measurements of children's actual language input, and these corpora constrain computational and cognitive theories of language development, which can then generate predictions about learning behavior. We describe several instances where corpus, computational, and experimental work have been productively combined to uncover the first language acquisition process and the richness of multimodal properties of the environment, highlighting how these methods can be extended to address related issues in second language research. Finally, we outline some of the difficulties that can be encountered when applying multimethod approaches and show how these difficulties can be obviated.
KW - first language acquisition
KW - second language acquisition
KW - computational modeling
KW - corpus analysis
KW - multiple cues
KW - EARLY SENTENCE COMPREHENSION
KW - CROSS-LINGUISTIC EVIDENCE
KW - STRUCTURE DEPENDENCE
KW - GRAMMATICAL CATEGORY
KW - WORD-ORDER
KW - CUES
KW - MODEL
KW - SPEECH
KW - VERB
KW - 2ND-LANGUAGE
U2 - 10.1111/lang.12221
DO - 10.1111/lang.12221
M3 - Review article
VL - 67
SP - 14
EP - 39
JO - Language Learning
JF - Language Learning
SN - 0023-8333
IS - Suppl. 1
ER -