[!IMPORTANT] This repository is the result of a university project undertaken as part of the Software Development course in the Master’s program in Natural Language Processing at the University of Lorraine, Nancy.

Please note that the project may lack the technical robustness required for production use. It should be considered as an educational exercise rather than a polished, production-ready solution.

GECko+

More than a Grammatical Error Corrector

GECko+ is an English language assisting tool that corrects mistakes of various types on written texts. While many well-settled pieces of software of its kind correct mistakes at the grammatical level (orthography and syntax), our pipeline allows the tool to perform corrections both at grammatical and at discourse level.

[!NOTE]

• The grammatical correction uses GECToR
• The discourse correction consists of a sentence-reordering mechanism only, based on this paper. This feature can be disabled, as sentence reordering may not be the most effective method for correcting discourse. It was implemented primarily to explore an original approach for our university project.

Use cases examples

Running locally and developing

Option 1 - Using a virtual environment

1. Clone the repository.

2. Create a virtual environment with Python 3.7.

3. Install the requirements files pip install -r requirements.txt. If it doesn't work, the following can be a workaround: python3.7 -m pip install -r requirements.txt

4. Download the models by executing:

   • mkdir -p application/models/gector/data/model_files && cd application/models/gector/data/model_files && curl -O https://grammarly-nlp-data-public.s3.amazonaws.com/gector/xlnet_0_gector.th.
   • mkdir -p application/models/sentence_reorder && cd application/models/sentence_reorder/ && curl -O http://tts.speech.cs.cmu.edu/sentence_order/nips_bert.tar && tar -xf nips_bert.tar && rm nips_bert.tar && mv nips_bert/ model/.

5. Run the web app locally by executing run.py. The default development URL is http://127.0.0.1:5000/.

Option 2 - Using Docker

1. Build the Docker image: docker build -t gecko-app ..
2. Run the image: docker run -d -p 3000:80 gecko-app. The URL will be http://0.0.0.0:3000/.

Acknowledgments

Our tool implements the two following models, for tackling, respectively, grammatical and discourse errors:

• Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub and Oleksandr Skurzhanskyi "GECToR -- Grammatical Error Correction: Tag, Not Rewrite". In Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications. [arXiv]
• Prabhumoye, Shrimai, Ruslan Salakhutdinov, and Alan W. Black. "Topological Sort for Sentence Ordering." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. [arXiv]

Citation

The paper describing GECko+ is finally out! If you find this tool useful in your research, please consider citing it:

@inproceedings{calo-etal-2021-gecko,
    title = "{GEC}ko+: a Grammatical and Discourse Error Correction Tool",
    author = "Cal{\`o}, Eduardo  and
      Jacqmin, L{\'e}o  and
      Rosemplatt, Thibo  and
      Amblard, Maxime  and
      Couceiro, Miguel  and
      Kulkarni, Ajinkya",
    booktitle = "Actes de la 28e Conf{\'e}rence sur le Traitement Automatique des Langues Naturelles. Volume 3 : D{\'e}monstrations",
    month = "6",
    year = "2021",
    address = "Lille, France",
    publisher = "ATALA",
    url = "https://aclanthology.org/2021.jeptalnrecital-demo.3",
    pages = "8--11",
    abstract = "We introduce GECko+, a web-based writing assistance tool for English that corrects errors both at the sentence and at the discourse level. It is based on two state-of-the-art models for grammar error correction and sentence ordering. GECko+ is available online as a web application that implements a pipeline combining the two models.",
}

Contribute

We accept contributions, whether they intend to fix an issue or to add new functionalities. Don't hesitate to submit a pull request!

License

The software is distributed under Common Creative 4.0 license.