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fixes typo

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Lucas Vazquez 2020-03-28 00:11:42 -03:00 committed by GitHub
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10_nlp.ipynb
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@ -213,7 +213,7 @@
"source": [ "source": [
"As we write this book, the default *English word tokenizer* for fastai uses a library called *spaCy*. This uses a sophisticated rules engine that has special rules for URLs, individual special English words, and much more. Rather than directly using `SpacyTokenizer`, however, we'll use `WordTokenizer`, since that will always point to fastai's current default word tokenizer (which may not always be Spacy, depending when you're reading this).\n", "As we write this book, the default *English word tokenizer* for fastai uses a library called *spaCy*. This uses a sophisticated rules engine that has special rules for URLs, individual special English words, and much more. Rather than directly using `SpacyTokenizer`, however, we'll use `WordTokenizer`, since that will always point to fastai's current default word tokenizer (which may not always be Spacy, depending when you're reading this).\n",
"\n", "\n",
"Let's try it out. We'll use fastai's `coll_repr(collection,n)` function to display the results; this displays the first `n` items of `collection`, along with the full size--it's what `L` uses by default. Not that fastai's tokenizers take a collection of documents to tokenize, so we have to wrap `txt` in a list:" "Let's try it out. We'll use fastai's `coll_repr(collection,n)` function to display the results; this displays the first `n` items of `collection`, along with the full size--it's what `L` uses by default. Note that fastai's tokenizers take a collection of documents to tokenize, so we have to wrap `txt` in a list:"
] ]
}, },
{ {