Showing 3 open source projects for "spelling"

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  • 1
    Python Client For NLP Cloud

    Python Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    TextBlob

    TextBlob

    TextBlob is a Python library for processing textual data

    ...TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization, as well as spelling correction. Add new models or languages through extensions. Also, it comes with a WordNet integration. If you only intend to use TextBlob’s default models (no model overrides), you can pass the lite argument. This downloads only those corpora needed for basic functionality. TextBlob is also available as a conda package.
    Downloads: 1 This Week
    Last Update:
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  • 3
    is a natural language understanding program written in Python. It includes an English language parser, an English dictionary tagged with parts of speech and including phrasal verbs and common first names, a spelling corrector, and an indexed file module
    Downloads: 2 This Week
    Last Update:
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