M. Siu and M. Ostendorf,
"Integrating a Context-Dependent Phrase Grammar in the variable n-gram framework,"
Proc. ICASSP, to appear.
Learning and modeling multi-word lexical units (phrases) has been the
subject of considerable interest in recent years. In this paper, we
focus on the learning of phrases and how to model them within the
variable n-gram frame. We introduced the notion of context-dependent
phrases and suggest one algorithm for unsupervised learning of
phrases. Also, we proposed an approach to integrate phrase grammar and
the variable n-gram without the need of explicitly handling multi-word
lexical items. The combined variable n-gram phrase grammar improves
recognition accuracy on the Switchboard corpus over both the baseline
trigram and using variable n-gram alone.
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