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Update universe details spacy_conll (#5871)

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Bram Vanroy 2020-08-05 14:34:12 +02:00 committed by GitHub
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@ -1795,26 +1795,33 @@
{
"id": "spacy-conll",
"title": "spacy_conll",
"slogan": "Parse text with spaCy and gets its output in CoNLL-U format",
"description": "This module allows you to parse a text to CoNLL-U format. It contains a pipeline component for spaCy that adds CoNLL-U properties to a Doc and its sentences. It can also be used as a command-line tool.",
"slogan": "Parsing to CoNLL with spaCy, spacy-stanza, and spacy-udpipe",
"description": "This module allows you to parse text into CoNLL-U format. You can use it as a command line tool, or embed it in your own scripts by adding it as a custom pipeline component to a spaCy, spacy-stanfordnlp, spacy-stanza, or spacy-udpipe pipeline. It also provides an easy-to-use function to quickly initialize a parser. CoNLL-related properties are added to Doc elements, sentence Spans, and Tokens.",
"code_example": [
"import spacy",
"from spacy_conll import ConllFormatter",
"from spacy_conll import init_parser",
"",
"nlp = spacy.load('en')",
"conllformatter = ConllFormatter(nlp)",
"nlp.add_pipe(conllformatter, after='parser')",
"doc = nlp('I like cookies. Do you?')",
"conll = doc._.conll",
"print(doc._.conll_str_headers)",
"print(doc._.conll_str)"
"",
"# Initialise English parser, already including the ConllFormatter as a pipeline component.",
"# Indicate that we want to get the CoNLL headers in the string output.",
"# `use_gpu` and `verbose` are specific to stanza (and stanfordnlp). These keywords arguments",
"# are passed onto their Pipeline() initialisation",
"nlp = init_parser(\"stanza\",",
" \"en\",",
" parser_opts={\"use_gpu\": True, \"verbose\": False},",
" include_headers=True)",
"# Parse a given string",
"doc = nlp(\"A cookie is a baked or cooked food that is typically small, flat and sweet. It usually contains flour, sugar and some type of oil or fat.\")",
"",
"# Get the CoNLL representation of the whole document, including headers",
"conll = doc._.conll_str",
"print(conll)"
],
"code_language": "python",
"author": "Bram Vanroy",
"author_links": {
"github": "BramVanroy",
"twitter": "BramVanroy",
"website": "https://bramvanroy.be"
"website": "http://bramvanroy.be"
},
"github": "BramVanroy/spacy_conll",
"category": ["standalone", "pipeline"],