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Update README.md

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@@ -9,8 +9,8 @@ Full (unabbreviated) words are "Regular" naturalness (labeled as N1). Somewhat a
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  Very abbreviated or indecipherable words are "Least" naturalness (labeled as N3).
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  Inference using this model requires a token tagging pre-processing step. This is provided in tokenprocessing.py.
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- To most easily use this model, download the canine_naturalness_classifier.py and tokenprocessing.py files in this
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- repository and run.
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  For more information about the SNAILS project:
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  GitHub repository: https://www.github.com/KyleLuoma/SNAILS
 
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  Very abbreviated or indecipherable words are "Least" naturalness (labeled as N3).
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  Inference using this model requires a token tagging pre-processing step. This is provided in tokenprocessing.py.
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+ To most easily use this model, download the snails_naturalness_classifier.py and tokenprocessing.py files in this
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+ repository and run snails_naturalness_classifier.py.
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  For more information about the SNAILS project:
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  GitHub repository: https://www.github.com/KyleLuoma/SNAILS