language_tool_python
Gramformer
| language_tool_python | Gramformer | |
|---|---|---|
| 5 | 5 | |
| 427 | 1,494 | |
| - | - | |
| 6.2 | 0.0 | |
| about 2 months ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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language_tool_python
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Is there a tool to classify correct sentences?
If you are mainly concerned with grammatical errors, maybe the Language Tool could be helpful. There’s a python wrapper for it (https://github.com/jxmorris12/language_tool_python).
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How to be able to compute 'good' text. Not reader comprehension level but well structured etc.
Language Tool Python looks like it might be the start to what you're looking for - this article I found shows a pretty similar project in looking for a "grammar quality" sort of score.
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Python: How to capitalize a letter in the middle of a string?
Sure, you just need to import a library that codifies the entirety of the English language, such as language tool.
- Is there a python library or API that is able to check the grammar of a sentence?
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How to check a text document for grammatical accuracy?
You could use language_tool_python.
Gramformer
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I started an internet experiment about writing. It is a book written entirely by internet users. Everyone can continue the story written by others.
You could spin up an instance with something like https://github.com/PrithivirajDamodaran/Gramformer and then just run the entries threw it.
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Creating pharaphrased texts from input
A paraphraser for any input text using the wonderful parrot library from https://github.com/PrithivirajDamodaran
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What is the best solution to automatically preprocess and correct a LOT of English text?
Gramformer can be useful.
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ML application for grammar correction
If you capture it, you might as well correct it. Check out Gramformer or Grammarly's Gector. You can do scoring based on number of mistakes proposed by these models i.e. the fewer, the better.
- Is there any way to detect grammatical errors and classify text as being either grammatically correct/incorrect?
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
PyLFG - PyLFG is a Python library for working within the Lexical Functional Grammar (LFG) formalism. It provides a set of classes and methods for representing and manipulating LFG structures, including f-structures and c-structures.
nylon - An intelligent, flexible grammar of machine learning.
textidote - Spelling, grammar and style checking on LaTeX documents
jina - ☁️ Build multimodal AI applications with cloud-native stack
kefir - 🥛turkic morphology project
angry-reviewer - Style corrector for academic writing and scientific papers at angryreviewer.com
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
plotnine - A Grammar of Graphics for Python