Paper: Dynamic Nonlocal Language Modeling Via Hierarchical Topic-Based Adaptation

ACL ID P99-1022
Title Dynamic Nonlocal Language Modeling Via Hierarchical Topic-Based Adaptation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper presents a novel method of generating and applying hierarchical, dynamic topic-based lan- guage models. It proposes and evaluates new clus- ter generation, hierarchical smoothing and adaptive topic-probability estimation techniques. These com- bined models help capture long-distance lexical de- pendencies. ¬įExperiments on the Broadcast News corpus show significant improvement in perplexity (10.5% overall and 33.5% on target vocabulary).