Corpus Approaches to Language Ideology

Autor/in	Vessey, Rachelle
Titel	Corpus Approaches to Language Ideology
Quelle	In: Applied Linguistics, 38 (2017) 3, S.277-296 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0142-6001
DOI	10.1093/applin/amv023
Schlagwörter	Language Patterns; Ideology; Word Frequency; Discourse Analysis; Metalinguistics; Language Role; Statistical Significance; Comparative Analysis; French; English; Newspapers; Foreign Countries; Canada + Suchen Sie Ihr Suchwort? Sprachmodell; Sprachstruktur; Ideologie; Word analysis; Frequency; Wortanalyse; Häufigkeit; Diskursanalyse; Metalanguage; Metasprache; Französisch; English language; Englisch; Newspaper; Zeitung; Ausland; Kanada
Abstract	This paper outlines how corpus linguistics--and more specifically the corpus-assisted discourse studies approach--can add useful dimensions to studies of language ideology. First, it is argued that the identification of words of high, low, and statistically significant frequency can help in the identification and exploration of language ideologies within corpora. The frequency of linguistic patterns and discursive representations may reveal trends in explicit representations of languages (i.e. metalanguage) and elisions where assumptions are made about the role of languages (i.e. implicit language ideologies). Secondly, collocation data can aid researchers in gaining greater insight into the ways in which languages are being represented (or not) within sites identified through frequency and statistical significance. Finally, the use of dispersion plots can help researchers to identify sites with high- and low-frequency items for closer analysis. The paper concludes with some of the limitations of the corpus linguistic approach in studying language ideologies. Examples are drawn from a larger comparative study of French and English language ideologies in corpora of Canadian newspapers. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01