From d7926de1e5a0f436c11cc03221afd8bf92d1a0ee Mon Sep 17 00:00:00 2001
From: Bram Vanroy <Bram.Vanroy@UGent.be>
Date: Wed, 5 Aug 2020 14:34:12 +0200
Subject: [PATCH] Update universe details spacy_conll (#5871)

---
 website/meta/universe.json | 31 +++++++++++++++++++------------
 1 file changed, 19 insertions(+), 12 deletions(-)

diff --git a/website/meta/universe.json b/website/meta/universe.json
index a9a402a66..cf361435f 100644
--- a/website/meta/universe.json
+++ b/website/meta/universe.json
@@ -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"],