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Ackerley, Katherine – Language Learning & Technology, 2017
This study analyses the effects of data-driven learning (DDL) on the phraseology used by 223 English students at an Italian university. The students studied the genre of opinion survey reports through paper-based and hands-on exploration of a reference corpus. They then wrote their own report and a learner corpus of these texts was compiled. A…
Descriptors: Phrase Structure, Computational Linguistics, English (Second Language), Second Language Learning
MacDonald, Penny; Garcia-Carbonell, Amparo; Carot, Sierra, Jose Miguel – Language Learning & Technology, 2013
This study focuses on the computer-aided analysis of interlanguage errors made by the participants in the telematic simulation IDEELS (Intercultural Dynamics in European Education through on-Line Simulation). The synchronous and asynchronous communication analysed was part of the MiLC Corpus, a multilingual learner corpus of texts written by…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Interlanguage
Beebe, Leslie M. – 1985
An examination of the social psychological basis of style shifting suggests that, contrary to Labovian theory, many style shifts are not a function of shifts in attention to speech and that there are other more explanatory ways of analyzing style shifts. Some reasons for this view are: (1) attention to speech is sometimes negatively correlated…
Descriptors: Comparative Analysis, Interlanguage, Language Research, Language Styles
Beebe, Leslie M. – 1983
Three questions in the application of native-language sociolinguistic theories to second language contexts are addressed: (1) Is transfer always a psycholinguistic process of interlingual overgeneralization? (2) Does attention to speech underlie all style shifting? (3) Is H. Giles' Speech Accommodation Theory adequate to explain all purposeful…
Descriptors: Comparative Analysis, Discourse Analysis, English (Second Language), Interference (Language)
Ulijn, Jan M.; Strother, Judith B. – ESP Journal, 1987
Forty-eight American (L1) and 48 Dutch students (L2), half of whom had computer science backgrounds and half of whom did not, were tested for their use of either scientific text (ST) syntactic structures or the less difficult common syntax when writing technical discourse (in Appendix). Results indicate that both L1 and L2 technical writers wrote…
Descriptors: Comparative Analysis, Computer Science Education, Dutch, English (Second Language)

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