Abstract
We present in this paper the results of a tagged corpus-based study conducted on two kinds of disfluencies (repeats and self-repairs) from a corpus of spontaneous spoken French. This work first investigates the linguistic features of both phenomena, and then shows how – from a corpus output tagged with TreeTagger – to take into account repeats and self-repairs using word N-grams model and rule-based pattern matching. Some results on a test corpus are finally presented.
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Bove, R. (2008). A Tagged Corpus-Based Study for Repeats and Self-repairs Detection in French Transcribed Speech. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_35
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DOI: https://doi.org/10.1007/978-3-540-87391-4_35
Publisher Name: Springer, Berlin, Heidelberg
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