awasthiabhijeet/PIE
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
This project helps quickly correct grammatical errors in written text. You provide sentences that may contain mistakes, and it outputs revised sentences with improved grammar, spelling, and punctuation. It's designed for natural language processing researchers or developers who need a very fast and efficient way to process and correct large volumes of text.
231 stars. No commits in the last 6 months.
Use this if you need a high-speed solution for grammatical error correction that can process text significantly faster than traditional methods, while maintaining competitive accuracy.
Not ideal if you're looking for a simple, out-of-the-box spell checker or grammar tool for everyday use, as it requires technical setup and understanding of model inference.
Stars
231
Forks
39
Language
Macaulay2
License
MIT
Category
Last pushed
Mar 24, 2023
Commits (30d)
0
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