2010
DOI: 10.1177/0265532210378031
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Predicting lexical proficiency in language learner texts using computational indices

Abstract: indices Predicting lexical proficiency in language learner texts using computational Published by: http://www.sagepublications.com can be found at: Language Testing Additional services and information for AbstractThe authors present a model of lexical proficiency based on lexical indices related to vocabulary size, depth of lexical knowledge, and accessibility to core lexical items. The lexical indices used in this study come from the computational tool Coh-Metrix and include word length scores, lexical divers… Show more

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Cited by 121 publications
(95 citation statements)
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References 39 publications
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“…Regarding the use of connectives, the present finding that the overall use of cohesive features decreased with grade level is supported by Crossley et al (2011). Thus, although a coherent text indicates high writing ability (Sanders & Schilperoord, 2006;Sanders et al, 1996), coherence seems achieved by the use of relatively fewer cohesive features as writing ability increases.…”
Section: Linguistic Features and Writing Abilitysupporting
confidence: 55%
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“…Regarding the use of connectives, the present finding that the overall use of cohesive features decreased with grade level is supported by Crossley et al (2011). Thus, although a coherent text indicates high writing ability (Sanders & Schilperoord, 2006;Sanders et al, 1996), coherence seems achieved by the use of relatively fewer cohesive features as writing ability increases.…”
Section: Linguistic Features and Writing Abilitysupporting
confidence: 55%
“…For example, the relation between lexical complexity and lexical diversity is supported by results from Crossley et al (2011), who reported the use of increasingly sophisticated words as grade level increased. In a study by McNamara et al (2010), lexical diversity and word frequency were found to be the most predictive features.…”
Section: Linguistic Features and Writing Abilitymentioning
confidence: 93%
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“…Crossley, et al (2010), for instance, indicated that, "Perhaps the most robust finding of this study is that an index of lexical diversity, D, explains almost 34% of the variance in human judgments of written lexical proficiency" (p.13). This shows that lexical diversity affects human assessors' perceptions of writing quality and therefore could differentiate between different proficiency levels.…”
Section: Discussionmentioning
confidence: 69%
“…Accessibility refers to how quickly words can be retrieved or processed, and is based on judgements of word concreteness and familiarity. Using computational tools that generate lexical profiles, such as Coh-Metrix (Graesser, McNamara, Louwerse, & Cai, 2004), researchers have identified which lexical features differentiate texts written by L1 writers at varying grade levels (Crossley, Weston, McLain Sullivan, & McNamara, 2011;McNamara, Crossley, & McCarthy, 2010) and texts written by L2 writers from diverse proficiency levels (Crossley & McNamara, 2012;Crossley, Salsbury, & McNamara, 2011;Crossley, Salsbury, McNamara, & Jarvis, 2010). The L2 studies showed that lexical diversity and word frequency, both measures of vocabulary size, and word hypernymy (a measure of breadth) had strong relationships with ratings of lexical proficiency, while lexical diversity, word familiarity, frequency, meaningfulness, and imagability (i.e., ease of constructing a mental image) had strong relationships with ratings of text quality.…”
Section: La Présente éTude a Comparé Des Rédactions éCrites Par Desmentioning
confidence: 99%