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and woken up from its cryogenic sleep in a more suitable era.
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A memory-based language model, in this case running on the
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tasks like next-word prediction, <i>k</i>-NN becomes inhibitively slow. Fortunately,
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partly based on decision-tree classification and many orders of magnitude faster.
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and woken up from its cryogenic sleep in a more suitable era.
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</p>
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<p>
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A memory-based language model, in this case running on the
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<a href="https://github.com/LanguageMachines/timbl">TiMBL</a> classifier,
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is in the most basic sense a <i>k</i>-nearest neighbor classifier. However, on
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tasks like next-word prediction, <i>k</i>-NN becomes inhibitively slow. Fortunately,
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<a href="https://github.com/LanguageMachines/timbl">TiMBL</a>
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offers a number of fast approximations of <i>k</i>-NN classification, all
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partly based on decision-tree classification and many orders of magnitude faster.
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