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Sixth International Conference on Spoken Language Processing
(ICSLP 2000)
Beijing, China
October 16-20, 2000 |
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Evaluating Hierarchical Hybrid Statistical Language Models
Lucian Galescu, James Allen
University of Rochester, USA
We introduce in this paper a hierarchical hybrid statistical language
model, represented as a collection of local models plus a
general model that binds together the local ones. The model
provides a unified framework for modelling language both
above and below the word level, and we exemplify with models
of both kinds for a large vocabulary task domain. To our knowledge
this is the first paper to report an extensive evaluation of
the improvements achieved from the use of local models within
a hierarchical framework in comparison with a conventional
word-based trigram model.
Full Paper
Bibliographic reference.
Galescu, Lucian / Allen, James (2000):
"Evaluating hierarchical hybrid statistical language models",
In ICSLP-2000, vol.2, 963-966.