antdurrant

antdurrant's Stars

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:TypeScript41.3k3.6k

• microsoft/NeuralSpeech

  Language:Python1.4k180

• cofe-ai/fast-gector

  Language:Python5511

• gbateson/moodle-mod_reader

  Reader module for Moodle >= 2.0

  Language:PHP65

• gbateson/moodle-qtype_essayautograde

  Essay (auto-grade) question type for Moodle >= 3.0

  Language:PHP1313

• sunilchomal/GECwBERT

  Use Language Model (LM) for Grammar Error Correction (GEC), without the use of annotated data.

  Language:Jupyter Notebook8315

• kanekomasahiro/grammatical-error-detection

  Language:Python194

• neuspell/neuspell

  NeuSpell: A Neural Spelling Correction Toolkit

  Language:Python689104

• borgr/GEC_UD_divergences

  Language:Jupyter Notebook92

• taku-ito/INLG2019_SentRev

  91

• AutoTemp/Shallow-Aggressive-Decoding

  Codes for the paper "Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding" (ACL-IJCNLP 2021)

  Language:Python401

• mhagiwara/github-typo-corpus

  GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

  Language:Python50138

• kanyun-inc/fairseq-gec

  Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

  Language:Python25067

• michiyasunaga/LM-Critic

  [EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction

  Language:Python11911

• Katsumata420/generic-pretrained-GEC

  Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model.

  Language:Python378

• SimonHFL/CWEB

  Language:Macaulay2161

• ufal/wnut2021_character_transformations_gec

  The code from the paper Character Transformations for Non-Autoregressive GEC Tagging

  Language:Python61

• ufal/low-resource-gec-wnut2019

  Source code for paper Grammatical Error Correction in Low-Resource Scenarios (W-NUT 2019)

  Language:Python132

• glnmario/semchange-profiling

  Repository for the CoNLL-2021 paper "Grammatical Profiling for Semantic Change Detection" by Mario Giulianelli, Andrey Kutuzov, and Lidia Pivovarova.

  Language:Python41

• google-research-datasets/C4_200M-synthetic-dataset-for-grammatical-error-correction

  This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

  Language:Python16024

• EricFillion/happy-transformer

  Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

  Language:Python52968

• google-research/multilingual-t5

  Language:Python1.3k128

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.3k761

• ropenscilabs/tif

  Text Interchange Formats

  Language:R364

• cnap/gec-ranking

  Data and code used in the 2015 ACL paper, "Ground Truth for Grammatical Error Correction Metrics"

  Language:Python526

• 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)

  Language:Macaulay223039

• chrisjbryant/errant

  ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

  Language:Python443108

• keisks/wmt-trueskill

  Data and code used in the 2014 WMT, "Efficient Elicitation of Annotations for Human Evaluation of Machine Translation"

  Language:Python99

• EleutherAI/gpt-neo

  An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

  Language:Python8.3k962

• kakaobrain/pororo

  PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

  Language:Python1.3k224