Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation (1999)
by
Radu Florian
,
David Yarowsky
| Venue: | In Proceedings of the ACL |
| Citations: | 21 - 2 self |
BibTeX
@INPROCEEDINGS{Florian99dynamicnonlocal,
author = {Radu Florian and David Yarowsky},
title = {Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation},
booktitle = {In Proceedings of the ACL},
year = {1999},
pages = {167--174}
}
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Abstract
This paper presents a novel method of generating and applying hierarchical, dynamic topic-based language models. It proposes and evaluates new cluster generation, hierarchical smoothing and adaptive topic-probability estimation techniques. These combined models help capture long-distance lexical dependencies. Experiments on the Broadcast News corpus show significant improvement in perplexity (10.5% overall and 33.5% on target vocabulary).
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