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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 TiMBL classifier,
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- is in the most basis 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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- TiMBL 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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  </p>
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  <p>
 
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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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  </p>
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  <p>