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ISCA International Workshop on Speech and Language Technology in Education (SLaTE 2011)Venice, Italy |
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This paper presents a new technique in the development of
tools for Computer-Aided Language Learning (CALL) in Second
Language (L2) pronunciation training. Instead of the usual
pinpointing and feedback strategies, which address all production
errors in the L2 speaker equally, this technique aims at honing
in on where a pronunciation error can lead to a confusion in
the transmission of the message and providing these contexts
for practice. To provide this new correction strategy, it is necessary
to first identify the words and contexts which can lead to
a confusion in a message when there is a mispronunciation in
them. This paper describes a Basic Identification of Confusable
Contexts (BICC) procedure for detecting these cases providing
a measure of their relevance. It also includes a methodological
validation of BICC with humans assessing the quality and comprehensibility
of a dataset of automatically generated sentences
which shows that the prediction of these contexts is possible
with good precision.
Index Terms. second language, pronunciation training, natural
language processing, confusable contexts
Bibliographic reference. Saz, Oscar / Eskenazi, Maxine (2011): "Identifying confusable contexts for automatic generation of activities in second language pronunciation training", In SLaTE-2011, 121-124.