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3241
Review of Wood, D. 2015. Fundamentals of formulaic language: An introduction. London: Bloomsbury Academic. 198 pages. ISBN: 978–0–5672–7898–2
In: International Journal of English Studies; Vol. 17 No. 1 (2017): Open issue; 105-110 ; International Journal of English Studies; Vol. 17 Núm. 1 (2017): Open issue; 105-110 ; 1989-6131 ; 1578-7044 (2017)
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3242
Translating spanish infinitives: The translation of a technical text with Omega-T using corpora as support tools
Ruiz Arias, Laia. - : Universitat Oberta de Catalunya, 2017
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3243
Bridging the gap within text-data analytics: A computer environment for data analysis in linguistic research
Periñán Pascual, Carlos. - : Serv. Publicaciones de la Universidad de Las Palmas de Gran Canaria, 2017
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3244
Deriving Case, Agreement And Voice Phenomena In Syntax
In: Publicly Accessible Penn Dissertations (2017)
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3245
Early modern english scientific text types: different levels of linguistic complexity?
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3246
Does EAP writing instruction reduce L2 errors? Evidence from a longitudinal corpus of L2 EAP essays and reports
Crosthwaite, Peter. - : De Gruyter Mouton, 2017
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3247
Changes in British pronunciation models: the rise of Estuary English as a prestige variety
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3248
Which treatment outcomes are most important to aphasia clinicians and managers? An international e-Delphi consensus study
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3249
Discourse measurement in aphasia research: have we reached the tipping point? A core outcome set … or greater standardisation of discourse measures?
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3250
Factors influencing clinical consistency and variability in voice prosthesis management
Hancock, Kelli L; Ward, Elizabeth C; Burnett, Robyn A. - : Taylor & Francis, 2017
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3251
Community listeners' perceptions of voice function post-radiotherapy for laryngeal cancer.
Bergström, Liza; Ward, Elizabeth C.; Finizia, Caterina. - : Taylor & Francis, 2017
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3252
Contentious actions and communication for social change: the public hearing (Jan Sunwai) as process
Thomas, Pradip Nian. - : Wiley-Blackwell Publishing, 2017
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3253
Writing with attitude: stance expression in learner and professional dentistry research reports
Crosthwaite, Peter; Cheung, Lisa; Jiang, Feng (Kevin). - : Elsevier Ltd, 2017
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3254
Retesting the limits of data-driven learning: feedback and error correction
Crosthwaite, Peter. - : Routledge, 2017
Abstract: An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students’ written production for DDL. The study looks at DDL-mediated error correction across 61 written samples submitted by 32 tertiary students during a series of short DDL courses. Teachers provided feedback on errors present in the samples, and students highlighted corrections made with or without the corpus. The results suggest that students used corpora to correct errors of word choice, word form, collocations and phrasing, but were less likely to use corpora to correct errors of deletion or morphosyntax. When the corpus was used, students were likely to successfully correct errors of collocation but were less successful for errors of morphosyntax. Post-course questionnaires suggested that perception of the usefulness of DDL for grammar learning was less than that for vocabulary and the learning of phrases, and that time and effort spent on analyzing concordance data and understanding the teacher's feedback on their writing were perceived as difficulties. To explore these findings further, a qualitative analysis of the feedback teachers provided suggests significant difficulties devising appropriate feedback that promotes autonomous, inductive language acquisition for all error types on the one hand, and at the same time does not eliminate the need for corpus consultation nor is too vague for students to formulate appropriate corpus queries. This study is therefore an initial yet important step in identifying the type of errors that teachers can address in a timely manner with focused feedback leading to corpus consultation, and how such feedback affects the success of this consultation.
Keyword: 1203 Language and Linguistics; 1706 Computer Science Applications; 3310 Linguistics and Language; Corpus linguistics; Data-driven learning; English for academic purposes; Error correction; Written corrective feedback
URL: https://espace.library.uq.edu.au/view/UQ:676035
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3255
Tracheoesophageal speech restoration: issues for training and clinical support
Hancock, Kelli; Ward, Elizabeth C.; Burnett, Robyn. - : Taylor and Francis, 2017
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3256
The functions of external voices in hard news Appraisal: A dialogic perspective
In: Topics in Linguistics, Vol 18, Iss 2, Pp 63-80 (2017) (2017)
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3257
L’acquisizione dell’imperativo in italiano L2: analisi di un corpus di apprendenti anglofoni
In: EuroAmerican Journal of Applied Linguistics and Languages, Vol 4, Iss 1, Pp 40-61 (2017) (2017)
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3258
Studying text coherence in Czech – a corpus-based analysis
In: Topics in Linguistics, Vol 18, Iss 2, Pp 36-47 (2017) (2017)
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3259
Vocabulary Retention and Concordance-based Learning in L3 Acquisition
In: Eurasian Journal of Applied Linguistics, Vol 3, Iss 2, Pp 313-324 (2017) (2017)
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3260
Effectiveness of Corpus Consultation in Teaching Verb+Noun Collocations to Advanced ELT Students
In: Eurasian Journal of Applied Linguistics, Vol 3, Iss 1, Pp 93-111 (2017) (2017)
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