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    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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Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research

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Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research. / Monaghan, Padraic; Rowland, Caroline F.

In: Language Learning, Vol. 67, No. Suppl. 1, 06.2017, p. 14-39.

Research output: Contribution to Journal/MagazineReview articlepeer-review

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Monaghan P, Rowland CF. Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research. Language Learning. 2017 Jun;67(Suppl. 1):14-39. Epub 2016 Dec 14. doi: 10.1111/lang.12221

Author

Monaghan, Padraic ; Rowland, Caroline F. / Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research. In: Language Learning. 2017 ; Vol. 67, No. Suppl. 1. pp. 14-39.

Bibtex

@article{86171772c063431f8d2c3f3bfae68f1c,
title = "Combining Language Corpora With Experimental and Computational Approaches for Language Acquisition Research",
abstract = "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.",
keywords = "first language acquisition, second language acquisition, computational modeling, corpus analysis, multiple cues, EARLY SENTENCE COMPREHENSION, CROSS-LINGUISTIC EVIDENCE, STRUCTURE DEPENDENCE, GRAMMATICAL CATEGORY, WORD-ORDER, CUES, MODEL, SPEECH, VERB, 2ND-LANGUAGE",
author = "Padraic Monaghan and Rowland, {Caroline F.}",
note = "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.",
year = "2017",
month = jun,
doi = "10.1111/lang.12221",
language = "English",
volume = "67",
pages = "14--39",
journal = "Language Learning",
issn = "0023-8333",
publisher = "Wiley",
number = "Suppl. 1",

}

RIS

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 -