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)

nlp natural-language-processing

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230 Stars

39 Forks

230 Watchers

Macaulay2 Language

mit License

Cost to Build

$153.7K

Market Value

$456.9K

How is this calculated?

Growth over time

11 data points · 2021-08-01 → 2025-08-01

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What is the awasthiabhijeet/PIE GitHub project? Description: "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)". Written in Macaulay2. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone PIE

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git clone https://github.com/awasthiabhijeet/PIE.git

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[email protected]:awasthiabhijeet/PIE.git

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Download master.zip

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