spelling-correction-english-base

Maintainer: oliverguhr

Total Score

62

Last updated 5/28/2024

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PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The spelling-correction-english-base model is an experimental proof-of-concept spelling correction model for the English language, created by oliverguhr. It is designed to fix common typos and punctuation errors in text. This model is part of oliverguhr's research into developing models that can restore the punctuation of transcribed spoken language, as demonstrated by the fullstop-punctuation-multilang-large model.

Model inputs and outputs

Inputs

  • English text with potential spelling and punctuation errors

Outputs

  • Corrected English text with improved spelling and punctuation

Capabilities

The spelling-correction-english-base model can detect and fix common spelling and punctuation mistakes in English text. For example, it can correct words like "comparsion" to "comparison" and add missing punctuation like periods and commas.

What can I use it for?

This model could be useful for various applications that require accurate spelling and punctuation, such as writing assistance tools, content editing, and language learning platforms. It could also be used as a starting point for fine-tuning on specific domains or languages.

Things to try

You can experiment with the spelling-correction-english-base model using the provided pipeline interface. Try running it on your own text samples to see how it performs, and consider ways you could integrate it into your projects or applications.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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