spaCy/website/usage/_data.json

{
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            "Models & Languages": "models",
            "Facts & Figures": "facts-figures",
            "spaCy 101": "spacy-101",
            "New in v2.0": "v2"
        },
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            "Processing Pipelines": "processing-pipelines",
            "Vectors & Similarity": "vectors-similarity",
            "Text Classification": "text-classification",
            "Deep Learning": "deep-learning",
            "Training Models": "training",
            "Adding Languages": "adding-languages",
            "Visualizers": "visualizers"
        },
        "In-depth": {
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            "Resources": "resources"
        }
    },

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        "changelog": true,
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        "menu": {
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        }
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            "Architecture": "architecture",
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            "Migrating from v1.x": "migrating",
            "Benchmarks": "benchmarks"
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    "linguistic-features": {
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            "Multi-threading": "multithreading",
            "User Hooks": "user-hooks",
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        "next": "text-classification",
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            "Similarity in Context": "in-context",
            "Custom Vectors": "custom",
            "GPU Usage": "gpu"
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        "title": "Deep Learning",
        "teaser": "Using spaCy to pre-process text for deep learning, and how to plug in your own machine learning models.",
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            "spaCy and Thinc": "thinc",
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            "PyTorch": "pytorch",
            "DyNet": "dynet"
        }
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    "text-classification": {
        "title": "Text Classification",
        "next": "training"
    },

    "training": {
        "title": "Training spaCy's Statistical Models",
        "next": "adding-languages",
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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.",
        "next": "training",
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            "Training": "training"
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    },

    "resources": {
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            "Jupyter Notebooks": "notebooks",
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        }
    },

    "examples": {
        "title": "Code Examples",
        "teaser": "Full code examples you can modify and run.",
        "next": "resources",
        "menu": {
            "Matching": "matching",
            "Training": "training",
            "Deep Learning": "deep-learning"
        }
    }
}