Fine-Tuning T5 Model: The T5 model is fine-tuned on a dataset containing annotated examples of grammatical errors. This ensures that the model is tailored to the specific task of English grammar ...

For training, download the version of Fairseq-py In the training/ directory, within the preprocess.sh script, place paths to the the training datasets and development datasets. The source and target ...

The CAGEC model employs an innovative dual-encoder structure, combining the encoder of the Transformer model with a Bi-GRU (Bidirectional Gated Recurrent Unit) neural network, and integrates encoding ...

ABSTRACT: With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to ...

Grammatical error correction has been considered as an application closely related to daily life and an important shared task in many prestigious competitions a ...