Integrating a context-dependent phrase grammar in the variable n-gram framework
نویسندگان
چکیده
This paper focuses on the learning of multi-word lexical units, or phrases, and how to model them within the variable n-gram framework. We introduce the notion of contextdependent phrases and suggest an algorithm for unsupervised learning of phrases. Also, we propose an approach to integrate a phrase grammar and a 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 a variable n-gram alone.
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