This article describes the compilation, annotation and some exemplary searches of the LeaP corpus, a multilingual 12-hour corpus of spoken learner German and learner English that contains extensive time-aligned phonological and phonetic transcriptions. After outlining the collection and type of primary data that forms the corpus and explaining the manual and automatic annotation procedure, the search options of this resource are described as well as its availability for use by other researchers. The exemplary corpus search is concerned with L2 fluency. Findings of some quantitative and qualitative corpus searches are presented, in particular, the phonetic correlates of fluency and the factors that influence the fluency of foreign language learners.
2015. Tone Units as Indicators of L2 Fluency Development: Evidence from Native and Learner English. In Investigating English Pronunciation, ► pp. 196 ff.
McEnery, Tony, Vaclav Brezina, Dana Gablasova & Jayanti Banerjee
2019. Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use. Annual Review of Applied Linguistics 39 ► pp. 74 ff.
Romero-Rivas, Carlos, Clara D. Martin & Albert Costa
2015. Processing changes when listening to foreign-accented speech. Frontiers in Human Neuroscience 9
Schiller, Niels O., Bastien P.-A. Boutonnet, Marianne L. S. De Heer Kloots, Marieke Meelen, Bobby Ruijgrok & Lisa L.-S. Cheng
2020. (Not so) Great Expectations: Listening to Foreign-Accented Speech Reduces the Brain’s Anticipatory Processes. Frontiers in Psychology 11
Trouvain, Jürgen, Frank Zimmerer, Bernd Möbius, Mária Gósy & Anne Bonneau
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