Article published in:Automatic Treatment and Analysis of Learner Corpus Data
Edited by Ana Díaz-Negrillo, Nicolas Ballier and Paul Thompson
[Studies in Corpus Linguistics 59] 2013
► pp. 151–168
Automatic suprasegmental parameter extraction in learner corpora
In this chapter, an attempt is made to compute automatically suprasegmental – and, in particular, rhythmic – parameters that could be used to distinguish between a group of French learners of English and a group of native speakers. As a preliminary step, an automatic segmentation algorithm is benchmarked against manual segmentation. This assessment then leads us to reject the classic duration-based rhythm metrics and adopt alternative measurements involving pitch and intensity. Finally, we use an automatic classifier to check to what extent our metrics predict a reliable boundary between learner and native speech.
Published online: 18 December 2013
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