On the dynamic adaptation of stochastic language models
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (15206149) , 586-589 vol.2
- https://doi.org/10.1109/icassp.1993.319375
Abstract
A simple and general scheme for the adaptation of stochastic language models to changing text styles is introduced. For each word in the running text, the adapted model is a linear combination of specific models, the interpolation parameters being estimated on the preceding text passage. Experiments on a 1.1-million English word corpus show the validity of the approach. The adaptation method improves a bigram language model by 10% in terms of test-set perplexity.Keywords
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