"teaser":"The hard numbers for spaCy and how it compares to other libraries and tools.",
"next":"spacy-101",
"menu":{
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"Benchmarks":"benchmarks",
"Powered by spaCy":"powered-by",
"Other Libraries":"other-libraries"
}
},
"spacy-101":{
"title":"spaCy 101: Everything you need to know",
"teaser":"The most important concepts, explained in simple terms.",
"next":"index",
"quickstart":true,
"preview":"101",
"menu":{
"Features":"features",
"Lightning tour":"lightning-tour",
"Architecture":"architecture",
"Community & FAQ":"community-faq"
}
},
"v2":{
"title":"What's New in v2.0",
"teaser":"New features, backwards incompatibilities and migration guide.",
"menu":{
"New features":"features",
"Backwards Incompatibilities":"incompat",
"Migrating from v1.x":"migrating",
"Benchmarks":"benchmarks"
}
},
"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",
"menu":{
"POS Tagging":"pos-tagging",
"Dependency Parse":"dependency-parse",
"Named Entities":"named-entities",
"Tokenization":"tokenization",
"Rule-based Matching":"rule-based-matching"
}
},
"processing-pipelines":{
"title":"Language Processing Pipelines",
"next":"vectors-similarity",
"menu":{
"How pipelines work":"pipelines",
"Examples":"examples",
"Multi-threading":"multithreading",
"User Hooks":"user-hooks",
"Serialization":"serialization"
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},
"vectors-similarity":{
"title":"Word Vectors and Semantic Similarity",
"next":"text-classification",
"menu":{
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"Similarity in Context":"in-context",
"Custom Vectors":"custom",
"GPU Usage":"gpu"
}
},
"deep-learning":{
"title":"Deep Learning",
"teaser":"Using spaCy to pre-process text for deep learning, and how to plug in your own machine learning models.",
"next":"training",
"menu":{
"Pre-processing Text":"pre-processing",
"spaCy and Thinc":"thinc",
"TensorFlow / Keras":"tensorflow-keras",
"scikit-learn":"scikit-learn",
"PyTorch":"pytorch",
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"text-classification":{
"title":"Text Classification",
"next":"training"
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"training":{
"title":"Training spaCy's Statistical Models",
"next":"adding-languages",
"menu":{
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"NER":"ner",
"Tagger & Parser":"tagger-parser",
"Similarity":"similarity",
"Text Classification":"textcat",
"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.",