Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation

Details Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation

2001-04-27

arxiv.org/abs/cs/0104019v1

Proceedings of the 37th Annual Meeting of the ACL, pages 167-174, College Park, Maryland

Computer Science

Computation and Language

8 pages, 29 figures, presented at ACL99, College Park, Maryland

Scientific paper

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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