Gramformer
gector
| Gramformer | gector | |
|---|---|---|
| 5 | 2 | |
| 1,440 | 863 | |
| - | 0.7% | |
| 0.0 | 0.0 | |
| about 1 year ago | 9 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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?
gector
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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?
nylon - An intelligent, flexible grammar of machine learning.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
language_tool_python - a free python grammar checker 📝✅
spark-nlp - State of the Art Natural Language Processing
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
DeBERTa - The implementation of DeBERTa
kefir - 🥛turkic morphology project
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
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.
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
plotnine - A Grammar of Graphics for Python
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)