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@ -11,7 +11,7 @@ suggest-selection is left to the API consumer. Yet, often pre-selected
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suggestions are required in order to present to the end-user. The
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`phrase` suggester adds additional logic on top of the `term` suggester
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to select entire corrected phrases instead of individual tokens weighted
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based on `ngram-langugage` models. In practice this suggester will be
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based on `ngram-language` models. In practice this suggester will be
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able to make better decisions about which tokens to pick based on
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co-occurence and frequencies.
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