Normalize spelling for spaCy (#5822)

website/meta/universe.json

@@ -2,8 +2,8 @@
     "resources": [
         {
             "id": "spacy-sentence-bert",
-            "title": "SpaCy - sentence-transformers",
+            "title": "spaCy - sentence-transformers",
-            "slogan": "Pipelines for pretrained sentence-transformers (BERT, RoBERTa, XLM-RoBERTa & Co.) directly within SpaCy",
+            "slogan": "Pipelines for pretrained sentence-transformers (BERT, RoBERTa, XLM-RoBERTa & Co.) directly within spaCy",
             "description": "This library lets you use the embeddings from [sentence-transformers](https://github.com/UKPLab/sentence-transformers) of Docs, Spans and Tokens directly from spaCy. Most models are for the english language but three of them are multilingual.",
             "github": "MartinoMensio/spacy-sentence-bert",
             "pip": "spacy-sentence-bert",
@@ -80,8 +80,8 @@
         },
         {
             "id": "spacy-universal-sentence-encoder",
-            "title": "SpaCy - Universal Sentence Encoder",
+            "title": "spaCy - Universal Sentence Encoder",
-            "slogan": "Make use of Google's Universal Sentence Encoder directly within SpaCy",
+            "slogan": "Make use of Google's Universal Sentence Encoder directly within spaCy",
             "description": "This library lets you use Universal Sentence Encoder embeddings of Docs, Spans and Tokens directly from TensorFlow Hub",
             "github": "MartinoMensio/spacy-universal-sentence-encoder",
             "pip": "spacy-universal-sentence-encoder",
@@ -1461,7 +1461,7 @@
             "id": "podcast-init",
             "title": "Podcast.__init__ #87: spaCy with Matthew Honnibal",
             "slogan": "December 2017",
-            "description": "As the amount of text available on the internet and in businesses continues to increase, the need for fast and accurate language analysis becomes more prominent. This week Matthew Honnibal, the creator of SpaCy, talks about his experiences researching natural language processing and creating a library to make his findings accessible to industry.",
+            "description": "As the amount of text available on the internet and in businesses continues to increase, the need for fast and accurate language analysis becomes more prominent. This week Matthew Honnibal, the creator of spaCy, talks about his experiences researching natural language processing and creating a library to make his findings accessible to industry.",
             "iframe": "https://www.pythonpodcast.com/wp-content/plugins/podlove-podcasting-plugin-for-wordpress/lib/modules/podlove_web_player/player_v4/dist/share.html?episode=https://www.pythonpodcast.com/?podlove_player4=176",
             "iframe_height": 200,
             "thumb": "https://i.imgur.com/rpo6BuY.png",
@@ -1477,7 +1477,7 @@
             "id": "podcast-init2",
             "title": "Podcast.__init__ #256: An Open Source Toolchain For NLP From Explosion AI",
             "slogan": "March 2020",
-            "description": "The state of the art in natural language processing is a constantly moving target. With the rise of deep learning, previously cutting edge techniques have given way to robust language models. Through it all the team at Explosion AI have built a strong presence with the trifecta of SpaCy, Thinc, and Prodigy to support fast and flexible data labeling to feed deep learning models and performant and scalable text processing. In this episode founder and open source author Matthew Honnibal shares his experience growing a business around cutting edge open source libraries for the machine learning developent process.",
+            "description": "The state of the art in natural language processing is a constantly moving target. With the rise of deep learning, previously cutting edge techniques have given way to robust language models. Through it all the team at Explosion AI have built a strong presence with the trifecta of spaCy, Thinc, and Prodigy to support fast and flexible data labeling to feed deep learning models and performant and scalable text processing. In this episode founder and open source author Matthew Honnibal shares his experience growing a business around cutting edge open source libraries for the machine learning developent process.",
             "iframe": "https://cdn.podlove.org/web-player/share.html?episode=https%3A%2F%2Fwww.pythonpodcast.com%2F%3Fpodlove_player4%3D614",
             "iframe_height": 200,
             "thumb": "https://i.imgur.com/rpo6BuY.png",
@@ -1508,7 +1508,7 @@
             "id": "twimlai-podcast",
             "title": "TWiML & AI: Practical NLP with spaCy and Prodigy",
             "slogan": "May 2019",
-            "description": "\"Ines and I caught up to discuss her various projects, including the aforementioned SpaCy, an open-source NLP library built with a focus on industry and production use cases. In our conversation, Ines gives us an overview of the SpaCy Library, a look at some of the use cases that excite her, and the Spacy community and contributors. We also discuss her work with Prodigy, an annotation service tool that uses continuous active learning to train models, and finally, what other exciting projects she is working on.\"",
+            "description": "\"Ines and I caught up to discuss her various projects, including the aforementioned spaCy, an open-source NLP library built with a focus on industry and production use cases. In our conversation, Ines gives us an overview of the spaCy Library, a look at some of the use cases that excite her, and the Spacy community and contributors. We also discuss her work with Prodigy, an annotation service tool that uses continuous active learning to train models, and finally, what other exciting projects she is working on.\"",
             "thumb": "https://i.imgur.com/ng2F5gK.png",
             "url": "https://twimlai.com/twiml-talk-262-practical-natural-language-processing-with-spacy-and-prodigy-w-ines-montani",
             "iframe": "https://html5-player.libsyn.com/embed/episode/id/9691514/height/90/theme/custom/thumbnail/no/preload/no/direction/backward/render-playlist/no/custom-color/3e85b1/",
@@ -1540,7 +1540,7 @@
             "id": "practical-ai-podcast",
             "title": "Practical AI: Modern NLP with spaCy",
             "slogan": "December 2019",
-            "description": "\"SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!\"",
+            "description": "\"spaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!\"",
             "thumb": "https://i.imgur.com/jn8Bcdw.png",
             "url": "https://changelog.com/practicalai/68",
             "author": "Daniel Whitenack & Chris Benson",