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Kristopher Kyle
Georgia State University
34Publications
9H-index
264Citations
Publications 34
Newest
Published on Feb 1, 2019in Applied Linguistics3.04
Cynthia M. Berger3
Estimated H-index: 3
(GSU: Georgia State University),
Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University),
Kristopher Kyle9
Estimated H-index: 9
A large data set of L1 psycholinguistic norms (Balota et al. 2007) was used to assess spoken L2 English lexical proficiency in cross-sectional and longitudinal learner corpora. Behavioral norms included lexical decision and word naming latencies (i.e. reaction times) and accuracies for 40,481 English words. A frequency measure was included to compare the relative strength of the norms to a traditional lexical measure when explaining proficiency and growth. The cross-sectional study revealed that...
Published on Feb 1, 2019in System1.93
James Garner (UF: University of Florida), Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University),
Kristopher Kyle9
Estimated H-index: 9
Abstract Productive knowledge of English phraseology can assist second language writers in composing more effective and target-like texts. As such, researchers have taken a great interest in L2 phraseological competence by comparing the use of multi-word sequences by L2 writers with that of native speakers as well as comparing the use of multi-word sequences of L2 writers from different proficiency levels. This study expands on this research by investigating how multi-word sequence use can predi...
Published on Feb 1, 2019in Behavior Research Methods4.06
Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University),
Kristopher Kyle9
Estimated H-index: 9
,
Mihai Dascalu13
Estimated H-index: 13
(Politehnica University of Bucharest)
This article introduces the second version of the Tool for the Automatic Analysis of Cohesion (TAACO 2.0). Like its predecessor, TAACO 2.0 is a freely available text analysis tool that works on the Windows, Mac, and Linux operating systems; is housed on a user’s hard drive; is easy to use; and allows for batch processing of text files. TAACO 2.0 includes all the original indices reported for TAACO 1.0, but it adds a number of new indices related to local and global cohesion at the semantic level...
Published on Jan 1, 2019
Scott A. Crossley27
Estimated H-index: 27
,
Kristopher Kyle9
Estimated H-index: 9
,
Ute Römer18
Estimated H-index: 18
Published on Dec 24, 2018in Applied Linguistics3.04
Kátia R Monteiro (GSU: Georgia State University), Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University),
Kristopher Kyle9
Estimated H-index: 9
Published on Oct 1, 2018in Assessing Writing1.84
Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University),
Kristopher Kyle9
Estimated H-index: 9
Abstract Tool Tool for the Automatic Analysis of Lexical Sophistication (TAALES). Tool Purpose To calculate a wide range of classic and newly developed indices of lexical sophistication (e.g., frequency, range, academic register, concreteness and familiarity, psycholinguistic word properties, and semantic network norms). Key Premise Lexical sophistication features are strong predictors of writing quality in both first language (L1) and second language (L2) contexts. Research Connections Inspired...
Published on Sep 15, 2018
YouJin Kim16
Estimated H-index: 16
,
Scott A. Crossley27
Estimated H-index: 27
+ 2 AuthorsSanghee Kang
To date, a growing number of studies in instructed second language acquisition (SLA) have investigated the effects of task repetition on L2 performance (e.g., complexity, accuracy, fluency) as well as on the occurrence of interaction-driven learning opportunities (e.g., Bygate, 2001; Fukuta, 2016; Kim & Tracy-Ventura, 2013). However, studies have not investigated how repeating different aspects of tasks (e.g., content or procedure) during collaborative tasks affects second language lexical use. ...
Published on Jun 1, 2018in The Modern Language Journal3.76
Kristopher Kyle9
Estimated H-index: 9
,
Scott A. Crossley27
Estimated H-index: 27
(GSU: Georgia State University)
Syntactic complexity is an important measure of second language (L2) writing proficiency (Larsen–Freeman, 1978; Lu, 2011). Large‐grained indices such as the mean length of T‐unit (MLTU) have been used with the most consistency in L2 writing studies (Ortega, 2003). Recently, indices such as MLTU have been criticized, both for the difficulty in interpretation (e.g., Norris & Ortega, 2009) and for a potentially misplaced focus on clausal subordination (e.g., Biber, Gray, & Poonpon, 2011). In this a...
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