mirror of https://github.com/explosion/spaCy.git
30 lines
850 B
Markdown
30 lines
850 B
Markdown
|
---
|
||
|
title: SentenceRecognizer
|
||
|
tag: class
|
||
|
source: spacy/pipeline/pipes.pyx
|
||
|
new: 3
|
||
|
---
|
||
|
|
||
|
A trainable pipeline component for sentence segmentation. For a simpler,
|
||
|
ruse-based strategy, see the [`Sentencizer`](/api/sentencizer). This class is a
|
||
|
subclass of `Pipe` and follows the same API. The component is also available via
|
||
|
the string name `"senter"`. After initialization, it is typically added to the
|
||
|
processing pipeline using [`nlp.add_pipe`](/api/language#add_pipe).
|
||
|
|
||
|
## SentenceRecognizer.\_\_init\_\_ {#init tag="method"}
|
||
|
|
||
|
Initialize the sentence recognizer.
|
||
|
|
||
|
> #### Example
|
||
|
>
|
||
|
> ```python
|
||
|
> # Construction via create_pipe
|
||
|
> senter = nlp.create_pipe("senter")
|
||
|
>
|
||
|
> # Construction from class
|
||
|
> from spacy.pipeline import SentenceRecognizer
|
||
|
> senter = SentenceRecognizer()
|
||
|
> ```
|
||
|
|
||
|
<!-- TODO: document, similar to other trainable pipeline components -->
|