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  1. End-to-end workflows from prototype to production. spaCy's new project system gives you a smooth path from prototype to production. It lets you keep track of all those data transformation, preprocessing and training steps, so you can make sure your project is always ready to hand over for automation.It features source asset download, command execution, checksum verification, and caching with a ...
    • Spacy 101

      spaCy is not a platform or "an API". Unlike a platform, spaCy does not provide a software as a service, or a web application. It's an open-source library designed to help you build NLP applications, not a consumable service. spaCy is not an out-of-the-box chat bot engine. While spaCy can be used to power conversational applications, it ...

    • Usage

      spaCy is compatible with 64-bit CPython 3.7+ and runs on Unix/Linux, macOS/OS X and Windows. The latest spaCy releases are available over pip and conda. pip . Using pip, spaCy releases are available as source packages and binary wheels. Before you install spaCy and its dependencies, make sure that your pip, setuptools and wheel are up to date.

    • Models

      For spaCy v3.7+, trf pipelines use spacy-curated-transformers and doc._.trf_data is a DocTransformerOutput object. Modifying the default pipeline . For faster processing, you may only want to run a subset of the components in a trained pipeline. The disable and exclude arguments to spacy.load let you control

    • API

      Processing pipeline . The processing pipeline consists of one or more pipeline components that are called on the Doc in order. The tokenizer runs before the components. Pipeline components can be added using Language.add_pipe.They can contain a statistical model and trained weights, or only make rule-based modifications to the Doc. spaCy provides a range of built-in components for different ...

    • Universe

      spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

    • Start The Course

      spaCy is a modern Python library for industrial-strength Natural Language Processing. In this free and interactive online course, you'll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

  2. spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages.It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition ...
  3. en.wikipedia.org

    spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.Unlike NLTK, which is widely used for teaching and research ...
  4. colab.research.google.com

    For example, to get started with spaCy working with text in English and installed via conda on a Linux system: conda install -c conda-forge spacy python -m spacy download en_core_web_sm. BTW, the second line above is a download for language resources (models, etc.) and the _sm at the end of the download's name indicates a "small" model. There's ...
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    SpaCy

    Software
    spacy.io

    spaCy is an open-source software library for advanced Natural Language Processing, written in the programming languages Python and Cython. It offers the fastest syntactic parser in the world. The library is published under the MIT license and currently offers statistical neural network models for English, German, Spanish, Portuguese, French, Italian, Dutch and multi-language NER, as well as tokenization for various other languages. Wikipedia

    Original author(s)Matthew Honnibal
    Developer(s)Explosion AI, various
    Initial releaseFebruary 2015
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