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fix typo
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Summary: Pull Request resolved: facebookresearch#703

Reviewed By: EdouardGrave

Differential Revision: D13558111

Pulled By: Celebio

fbshipit-source-id: 3fb722ad23a2732522a40893e0bbb5e2e0548148
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Julien Bouquillon authored and facebook-github-bot committed Jan 21, 2019
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Expand Up @@ -259,7 +259,7 @@ With a few steps, we were able to go from a precision at one of 12.4% to 59.9%.

## Advanced readers: What is a Bigram?

A 'unigram' refers to a single undividing unit, or token, usually used as an input to a model. For example a unigram can a word or a letter depending on the model. In fastText, we work at the word level and thus unigrams are words.
A 'unigram' refers to a single undividing unit, or token, usually used as an input to a model. For example a unigram can be a word or a letter depending on the model. In fastText, we work at the word level and thus unigrams are words.

Similarly we denote by 'bigram' the concatenation of 2 consecutive tokens or words. Similarly we often talk about n-gram to refer to the concatenation any n consecutive tokens.

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