spaCy/website/docs/api/sentencerecognizer.md

title	tag	source	new
SentenceRecognizer	class	spacy/pipeline/pipes.pyx	3

A trainable pipeline component for sentence segmentation. For a simpler, ruse-based strategy, see the 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.

Default config

This is the default configuration used to initialize the model powering the pipeline component. See the model architectures documentation for details on the architectures and their arguments and hyperparameters. To learn more about how to customize the config and train custom models, check out the training config docs.

https://github.com/explosion/spaCy/blob/develop/spacy/pipeline/defaults/senter_defaults.cfg

SentenceRecognizer.__init__

Initialize the sentence recognizer.

Example

# Construction via create_pipe
senter = nlp.create_pipe("senter")

# Construction from class
from spacy.pipeline import SentenceRecognizer
senter = SentenceRecognizer()