Typo correction using NLP

This page summarizes the projects mentioned and recommended in the original post on /r/LanguageTechnology

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  • NLP-progress

    Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  • SymSpell

    SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

    SymSpell

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • nlprule

    A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

    Regarding grammatical error correction: LaserTagger is really cool and the first paper I'd recommend you to read if you're interested in a recent machine learning approach. The code is also Open Source. There's also rule-based approaches which are (again) faster but less sophisticated like nlprule.

  • wtpsplit

    Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation

    Source: I'm the author of nlprule and nnsplit which are quite well used for grammatical error correction and sentence boundary detection, respectively.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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