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@@ -208,7 +208,7 @@ Number of examples: 3000
 <li>using word n-grams (using the option <code>-wordNgrams</code>, standard range <code>[1 - 5]</code>).</li>
 </ul>
 <h2><a class="anchor" aria-hidden="true" id="advanced-readers-what-is-a-bigram"></a><a href="#advanced-readers-what-is-a-bigram" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Advanced readers: What is a Bigram?</h2>
-<p>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.</p>
+<p>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.</p>
 <p>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.</p>
 <p>For example, in the sentence, 'Last donut of the night', the unigrams are  'last', 'donut', 'of', 'the' and 'night'. The bigrams are: 'Last donut', 'donut of', 'of the' and 'the night'.</p>
 <p>Bigrams are particularly interesting because, for most sentences, you can reconstruct the order of the words just by looking at a bag of n-grams.</p>