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{
"sidebar" : {
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"Models & Languages" : "models" ,
"Facts & Figures" : "facts-figures" ,
"spaCy 101" : "spacy-101" ,
"New in v2.0" : "v2"
} ,
"Guides" : {
"Linguistic Features" : "linguistic-features" ,
"Processing Pipelines" : "processing-pipelines" ,
"Vectors & Similarity" : "vectors-similarity" ,
"Training Models" : "training" ,
"Adding Languages" : "adding-languages" ,
"Visualizers" : "visualizers"
} ,
"In-depth" : {
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"Code Examples" : "examples"
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}
} ,
"index" : {
"title" : "Install spaCy" ,
"next" : "models" ,
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}
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"title" : "Models & Languages" ,
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} ,
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"title" : "Facts & Figures" ,
"teaser" : "The hard numbers for spaCy and how it compares to other libraries and tools." ,
"next" : "spacy-101" ,
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"title" : "spaCy 101: Everything you need to know" ,
"teaser" : "The most important concepts, explained in simple terms." ,
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"title" : "What's New in v2.0" ,
"teaser" : "New features, backwards incompatibilities and migration guide." ,
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"Summary" : "summary" ,
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"linguistic-features" : {
"title" : "Linguistic Features" ,
"teaser" : "Using spaCy to extract linguistic features like part-of-speech tags, dependency labels and named entities, customising the tokenizer and working with the rule-based matcher." ,
"next" : "processing-pipelines" ,
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} ,
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"Serialization" : "serialization"
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}
} ,
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"training" : {
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"next" : "adding-languages" ,
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"NER" : "ner" ,
"Tagger & Parser" : "tagger-parser" ,
"Text Classification" : "textcat" ,
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"Tips and Advice" : "tips" ,
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"Saving & Loading" : "saving-loading"
}
} ,
"adding-languages" : {
"title" : "Adding Languages" ,
"teaser" : "Adding full support for a language touches many different parts of the spaCy library. This guide explains how to fit everything together, and points you to the specific workflows for each component." ,
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"visualizers" : {
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"tag_new" : 2 ,
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} ,
"examples" : {
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"Training" : "training" ,
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"Vectors & Similarity" : "vectors" ,
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"Deep Learning" : "deep-learning"
}
}
}