Fix small typo (pytorch#106)

FraLotito · soumith · commit 1b920116f2a6 · 2017-07-03T10:10:50.000-04:00
diff --git a/beginner_source/nlp/sequence_models_tutorial.py b/beginner_source/nlp/sequence_models_tutorial.py
@@ -244,7 +244,7 @@ def forward(self, sentence):
 # affixes have a large bearing on part-of-speech. For example, words with
 # the affix *-ly* are almost always tagged as adverbs in English.
 #
-# Do do this, let :math:`c_w` be the character-level representation of
+# To do this, let :math:`c_w` be the character-level representation of
 # word :math:`w`. Let :math:`x_w` be the word embedding as before. Then
 # the input to our sequence model is the concatenation of :math:`x_w` and
 # :math:`c_w`. So if :math:`x_w` has dimension 5, and :math:`c_w`

Original file line number	Diff line number	Diff line change
`@@ -244,7 +244,7 @@ def forward(self, sentence):`
`244`	`244`	`# affixes have a large bearing on part-of-speech. For example, words with`
`245`	`245`	`# the affix -ly are almost always tagged as adverbs in English.`
`246`	`246`	`#`
`247`		-# Do do this, let :math:`c_w` be the character-level representation of
	`247`	+# To do this, let :math:`c_w` be the character-level representation of
`248`	`248`	# word :math:`w`. Let :math:`x_w` be the word embedding as before. Then
`249`	`249`	# the input to our sequence model is the concatenation of :math:`x_w` and
`250`	`250`	# :math:`c_w`. So if :math:`x_w` has dimension 5, and :math:`c_w`