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	Update docs [ci skip]
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				|  | @ -187,7 +187,7 @@ more efficient than processing texts one-by-one. | |||
| > ```python | ||||
| > texts = ["One document.", "...", "Lots of documents"] | ||||
| > for doc in nlp.pipe(texts, batch_size=50): | ||||
| >     assert doc.is_parsed | ||||
| >     assert doc.has_annotation("DEP") | ||||
| > ``` | ||||
| 
 | ||||
| | Name                                       | Description                                                                                                                                                         | | ||||
|  |  | |||
|  | @ -205,9 +205,10 @@ acquired from [WordNet](https://wordnet.princeton.edu/). | |||
| spaCy features a fast and accurate syntactic dependency parser, and has a rich | ||||
| API for navigating the tree. The parser also powers the sentence boundary | ||||
| detection, and lets you iterate over base noun phrases, or "chunks". You can | ||||
| check whether a [`Doc`](/api/doc) object has been parsed with the | ||||
| `doc.is_parsed` attribute, which returns a boolean value. If this attribute is | ||||
| `False`, the default sentence iterator will raise an exception. | ||||
| check whether a [`Doc`](/api/doc) object has been parsed by calling | ||||
| `doc.has_annotation("DEP")`, which checks whether the attribute `Token.dep` has | ||||
| been set returns a boolean value. If the result is `False`, the default sentence | ||||
| iterator will raise an exception. | ||||
| 
 | ||||
| <Infobox title="Dependency label scheme" emoji="📖"> | ||||
| 
 | ||||
|  | @ -1705,9 +1706,10 @@ and can still be overwritten by the parser. | |||
| <Infobox title="Important note" variant="warning"> | ||||
| 
 | ||||
| To prevent inconsistent state, you can only set boundaries **before** a document | ||||
| is parsed (and `doc.is_parsed` is `False`). To ensure that your component is | ||||
| added in the right place, you can set `before='parser'` or `first=True` when | ||||
| adding it to the pipeline using [`nlp.add_pipe`](/api/language#add_pipe). | ||||
| is parsed (and `doc.has_annotation("DEP")` is `False`). To ensure that your | ||||
| component is added in the right place, you can set `before='parser'` or | ||||
| `first=True` when adding it to the pipeline using | ||||
| [`nlp.add_pipe`](/api/language#add_pipe). | ||||
| 
 | ||||
| </Infobox> | ||||
| 
 | ||||
|  |  | |||
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