gector
TEAM
| gector | TEAM | |
|---|---|---|
| 2 | 2 | |
| 863 | 23 | |
| 0.7% | - | |
| 0.0 | 10.0 | |
| 9 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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gector
-
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?
TEAM
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[R] Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering
Found relevant code at https://github.com/declare-lab/TEAM + all code implementations here
What are some alternatives?
Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
spark-nlp - State of the Art Natural Language Processing
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
DeBERTa - The implementation of DeBERTa
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
sequence-classifier - A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging
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.