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Update universe.json [ci skip]
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{
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{
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"id": "python-sentence-boundary-disambiguation",
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"id": "python-sentence-boundary-disambiguation",
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"title": "pySBD - 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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"slogan": "Rule-based sentence boundary detection that works out-of-the-box",
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"github": "nipunsadvilkar/pySBD",
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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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"description": "pySBD is 'real-world' sentence segmenter which extracts 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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"pip": "pysbd",
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"category": ["scientific"],
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"category": ["scientific"],
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"tags": ["sentence segmentation"],
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"tags": ["sentence segmentation"],
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"twitter": "nipunsadvilkar",
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"twitter": "nipunsadvilkar",
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"github": "nipunsadvilkar",
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"github": "nipunsadvilkar",
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"website": "https://nipunsadvilkar.github.io"
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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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},
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{
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{
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"id": "cookiecutter-spacy-fastapi",
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"id": "cookiecutter-spacy-fastapi",
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