Move sent-patterns to correct section of universe.json (#11192)

This commit is contained in:
Adriane Boyd 2022-07-25 09:14:50 +02:00 committed by GitHub
parent 93960dc4b5
commit 7a99fe3c65
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -3935,6 +3935,21 @@
},
"category": ["biomedical", "scientific", "research", "pipeline"],
"tags": ["clinical"]
},
{
"id": "sent-pattern",
"title": "English Interpretation Sentence Pattern",
"slogan": "English interpretation for accurate translation from English to Japanese",
"description": "This package categorizes English sentences into one of five basic sentence patterns and identifies the subject, verb, object, and other components. The five basic sentence patterns are based on C. T. Onions's Advanced English Syntax and are frequently used when teaching English in Japan.",
"github": "lll-lll-lll-lll/sent-pattern",
"pip": "sent-pattern",
"author": "Shunpei Nakayama",
"author_links": {
"twitter": "ExZ79575296",
"github": "lll-lll-lll-lll"
},
"category": ["pipeline"],
"tags": ["interpretation", "ja"]
}
],
@ -4023,37 +4038,6 @@
"description": "Episodes about spaCy or interviews with the spaCy team"
}
]
},
{
"id": "sent-pattern",
"title": "English Interpretation Sentence Pattern",
"slogan": "English interpretation for accurate translation from English to Japanese",
"description": "This package categorizes English sentences into one of five basic sentence patterns and identifies the subject, verb, object, and other components. The five basic sentence patterns are based on C. T. Onions's Advanced English Syntax and are frequently used when teaching English in Japan.",
"github": "lll-lll-lll-lll/sent-pattern",
"pip": "sent-pattern",
"code_example": [
"import spacy",
"nlp = spacy.load('en_core_web_lg')",
"",
"nlp.add_pipe('sent_pattern')",
"text = 'he gives me something'",
"pattern = doc._.sentpattern",
"",
"print(pattern)",
"# FourthSentencePattern (class)",
"print(pattern.subject.root)",
"# he (Token)",
"print(pattern.verb.root)",
"# give (Token)"
],
"code_language": "python",
"author": "Shunpei Nakayama",
"author_links": {
"twitter": "ExZ79575296",
"github": "lll-lll-lll-lll"
},
"category": ["pipeline"],
"tags": ["interpretation", "ja"]
}
]
}