A cache-based natural language model for speech recognition¶
Kuhn, R., & De Mori, R. (1990). A cache-based natural language model for speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(6), 570-583.
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- Linguistics and text: Word reuse is bursty — a word just used is disproportionately likely to recur soon, far more than its overall frequency would predict — which is the temporal-locality property that cache-based and adaptive language models exploit to outperform static frequency models.
This sourceIntroduces the cache language model exploiting bursty word reuse (temporal locality)—a recently-used word is disproportionately likely to recur—outperforming static frequency (n-gram) models.
- Linguistics and text: Word reuse is bursty — a word just used is disproportionately likely to recur soon, far more than its overall frequency would predict — which is the temporal-locality property that cache-based and adaptive language models exploit to outperform static frequency models.
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