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Ines Montani 2019-11-20 13:14:58 +01:00
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website/docs/usage/linguistic-features.md
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@ -797,12 +797,12 @@ The algorithm can be summarized as follows:
A working implementation of the pseudo-code above is available for debugging as A working implementation of the pseudo-code above is available for debugging as
[`nlp.tokenizer.explain(text)`](/api/tokenizer#explain). It returns a list of [`nlp.tokenizer.explain(text)`](/api/tokenizer#explain). It returns a list of
tuples showing which tokenizer rule or pattern was matched for each token. The tuples showing which tokenizer rule or pattern was matched for each token. The
tokens produced are identical to `nlp.tokenizer()` except for whitespace tokens produced are identical to `nlp.tokenizer()` except for whitespace tokens:
tokens:
```python ```python
### {executable="true"} ### {executable="true"}
from spacy.lang.en import English from spacy.lang.en import English
nlp = English() nlp = English()
text = '''"Let's go!"''' text = '''"Let's go!"'''
doc = nlp(text) doc = nlp(text)