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Update universe.json [ci skip]

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Ines Montani 2019-10-30 13:29:00 +01:00
parent 4cbc172cc6
commit d8c2365b04
1 changed files with 3 additions and 3 deletions
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website/meta/universe.json
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@ -1824,9 +1824,9 @@
{
"id": "python-sentence-boundary-disambiguation",
"title": "pySBD - python Sentence Boundary Disambiguation",
"slogan": "a rule-based sentence boundary detection that works out-of-the-box",
"slogan": "Rule-based sentence boundary detection that works out-of-the-box",
"github": "nipunsadvilkar/pySBD",
"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).",
"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).",
"pip": "pysbd",
"category": ["scientific"],
"tags": ["sentence segmentation"],
@ -1845,7 +1845,7 @@
"twitter": "nipunsadvilkar",
"github": "nipunsadvilkar",
"website": "https://nipunsadvilkar.github.io"
}
}
},
{
"id": "cookiecutter-spacy-fastapi",