Sentencizer : A simple pipeline component, to allow custom sentence boundary detection logic that doesn’t require the dependency parse. By default, sentence segmentation is performed by the DependencyParser, so the Sentencizer lets you implement a simpler, rule-based strategy that doesn’t require a statistical model to be loaded.
Jun 17, 2020 · Hi! It looks like you've done everything correctly in terms of setting up and packaging your sentencizer . It looks like you've hit an interesting edge case here in data-to-spacy: the recipe currently uses a blank model with the default sentencizer to process the examples (mainly tokenization and sentence segmentation).
The sentencizer is a very fast but also very minimal sentence splitter that's not going to have good performance with punctuation like this. First of all, we need to declare a string variable that has a string that contains multiple spaces. sp = spacy. Tokenizing the Text.