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- Volume 23, Issue 2, 2018
International Journal of Corpus Linguistics - Volume 23, Issue 2, 2018
Volume 23, Issue 2, 2018
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Dimensions of variation across Internet registers
Author(s): Tony Berber Sardinhapp.: 125–157 (33)More LessAbstractThis paper presents a study that sought to identify the dimensions of variation underlying a corpus of Internet texts, using Biber’s (1988) multi-dimensional (MD) analysis framework. The corpus was compiled following the method proposed by Biber (1993), according to which the size of each register subcorpus should be determined based on the linguistic variation across the texts. The corpus was tagged using the Biber Tagger and the features were counted and submitted to a factor analysis, which suggested three factors. The factors were interpreted as three dimensions of variation: involved, interactive discourse versus informational focus; expression of stance: interactional evidentiality; and expression of stance: interactional affect. The amount of register variation captured by the register distinctions on the dimensions ranged from 8.7% to 57.1%. Dimension 1 corroborate the oral/involved versus literate/informational distinction defined in previous MD studies of non-Internet registers, whereas Dimensions 2 and 3 highlight the important role played by stance in social media.
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Investigating effects of criterial consistency, the diversity dimension, and threshold variation in formulaic language research
Author(s): Xiaofei Lu, Olesya Kisselev, Jungwan Yoon and Michael D. Amorypp.: 158–182 (25)More LessAbstractO’Donnell et al. (2013) considered four measures of formulaicity and reported that they produced different results concerning the effects of expertise and first/second language status on formulaic sequence usage in academic writing. The current study explores several additional methodological issues using the same dataset from O’Donnell et al. (2013). We first motivate the need for criterial consistency and investigate whether frequency- and association-based measures yield different results when they are both obtained using corpus-internal criteria. The informativeness of the diversity dimension of formulaic sequence use is then gauged by comparing the results of phrase-frame type-token ratio against those of other measures. Finally, we profile formulaic sequence distribution across quartiles of different measures to assess the effect of variable measure thresholds. Our findings highlight the criticality of issues of criterial consistency, formulaic sequence diversity, and threshold variation in formulaic language research.
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Multi-unit association measures
Author(s): Jonathan Dunnpp.: 183–215 (33)More LessAbstractThis paper formulates and evaluates a series of multi-unit measures of directional association, building on the pairwise ΔP measure, that are able to quantify association in sequences of varying length and type of representation. Multi-unit measures face an additional segmentation problem: once the implicit length constraint of pairwise measures is abandoned, association measures must also identify the borders of meaningful sequences. This paper takes a vector-based approach to the segmentation problem by using 18 unique measures to describe different aspects of multi-unit association. An examination of these measures across eight languages shows that they are stable across languages and that each provides a unique rank of associated sequences. Taken together, these measures expand corpus-based approaches to association by generalizing across varying lengths and types of representation.
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The academic English collocation list
pp.: 216–243 (28)More LessAbstractThe use of collocations plays an important role for the proficiency of ESL/EFL learners. Hence, educators and researchers have long tried to identify collocations typical of either academic or general English and the challenges involved in learning them. This paper proposes a comprehensive and type-balanced academic English collocation list (AECL). AECL is based on a large corpus of academic English and was created to cover the types of collocations that will be most useful to ESL/EFL learners. AECL is the result of an innovative research-based procedure that involves a five-step selection method. A comparison of the collocations on AECL with those found in well-known collocation dictionaries of general English and on three existing academic English collocation lists indicates that AECL indeed contains mainly academic rather than general English collocations. In addition, AECL is more comprehensive with regard to the types of collocations that are relevant to learners.
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Weisser, M. (2016). Practical Corpus Linguistics: An Introduction to Corpus-based Language Analysis
Author(s): Viola Wiegandpp.: 244–249 (6)More LessThis article reviews Practical Corpus Linguistics: An Introduction to Corpus-based Language Analysis
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Grieve, J. (2016). Regional Variation in Written American English
pp.: 250–253 (4)More LessThis article reviews Regional Variation in Written American English
Volumes & issues
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Volume 29 (2024)
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Volume 28 (2023)
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Volume 27 (2022)
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Volume 26 (2021)
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Volume 25 (2020)
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Volume 24 (2019)
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Volume 23 (2018)
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Volume 22 (2017)
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Volume 21 (2016)
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Volume 20 (2015)
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Volume 19 (2014)
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Volume 18 (2013)
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Volume 17 (2012)
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Volume 16 (2011)
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Volume 15 (2010)
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Volume 14 (2009)
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Volume 13 (2008)
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Volume 12 (2007)
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Volume 11 (2006)
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Volume 10 (2005)
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Volume 9 (2004)
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Volume 8 (2003)
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Volume 7 (2002)
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Volume 6 (2001)
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Volume 5 (2000)
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Volume 4 (1999)
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Volume 3 (1998)
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Volume 2 (1997)
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Volume 1 (1996)
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Author(s): Robbie Love, Claire Dembry, Andrew Hardie, Vaclav Brezina and Tony McEnery
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