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Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. ...

...That means you get variables, sections, lambdas, partials, filters, and everything else you've come to expect from mustache templating, only much, much faster. Use hogan.compile() to precompile your templates into vanilla JS. It's best to serve your templates precompiled whenever you can (rather than the raw templates), as parsing is the most time consuming operation. Once compiled, call the render() method with a context and optional partials object. If supplying partials, you can compile them ahead of time, or pass string templates.