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Huge Language Models
Efficiency considerations are important when building language models that use such large sets of n-grams. Some techniques are:
- Storing words as 64-bit hash numbers in memory as opposed to strings.
- Pruning, only storing n-grams with counts greater than some threshold.
- Building approximate language models.
- Stupid backoff
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Data Science
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