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✨ project: pySBD - Python Sentence Boundary Disambiguation (#4455)
* ✨ project: pySBD - Python Sentence Boundary Disambiguation * 📝 Update links and description * 🐛 Fix missing comma * Update universe.json pysbd as a spacy component through entrypoints * 🚨 Fix universe.json * 📝 Update code_example
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@ -1801,6 +1801,32 @@
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"github": "microsoft"
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}
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},
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{
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"id": "python-sentence-boundary-disambiguation",
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"title": "pySBD - python Sentence Boundary Disambiguation",
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"slogan": "a rule-based sentence boundary detection that works out-of-the-box",
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"github": "nipunsadvilkar/pySBD",
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"description": "pySBD is 'real-world' sentence segmenter which extracts a reasonable sentences when the format and domain of the input text are unknown. It is a rules-based algorithm based on [The Golden Rules](https://s3.amazonaws.com/tm-town-nlp-resources/golden_rules.txt) - a set of tests to check accuracy of segmenter in regards to edge case scenarios developed by [TM-Town](https://www.tm-town.com/) dev team. pySBD is python port of ruby gem [Pragmatic Segmenter](https://github.com/diasks2/pragmatic_segmenter).",
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"pip": "pysbd",
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"category": ["scientific"],
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"tags": ["sentence segmentation"],
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"code_example": [
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"from pysbd.util import PySBDFactory",
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"",
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"nlp = spacy.blank('en')",
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"nlp.add_pipe(PySBDFactory(nlp))",
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"",
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"doc = nlp('My name is Jonas E. Smith. Please turn to p. 55.')",
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"print(list(doc.sents))",
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"# [My name is Jonas E. Smith., Please turn to p. 55.]"
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],
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"author": "Nipun Sadvilkar",
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"author_links": {
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"twitter": "nipunsadvilkar",
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"github": "nipunsadvilkar",
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"website": "https://nipunsadvilkar.github.io"
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}
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},
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{
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"id": "cookiecutter-spacy-fastapi",
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"title": "cookiecutter-spacy-fastapi",
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