Initial version

README.md

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+---
+language: 
+- en
+
+tags:
+- gec
+
+library_name: opennmt
+license: mit
+metrics:
+- bleu
+
+inference: false
+---
+
+### Introduction
+
+This repository contains a description on how to use OpenNMT on the Grammar Error Correction (GEC) task. The idea is to approch GEC as a translation task
+
+### Usage
+
+Install the necessary dependencies:
+
+
+```bash
+pip3 install ctranslate2 pyonmttok
+```
+
+
+Simple tokenization & translation using Python:
+
+
+```python
+import ctranslate2
+import pyonmttok
+from huggingface_hub import snapshot_download
+model_dir = snapshot_download(repo_id="jordimas/gec-opennmt-english", revision="main")
+
+tokenizer=pyonmttok.Tokenizer(mode="none", sp_model_path = model_dir + "/sp_m.model")
+tokenized=tokenizer.tokenize("The water are hot. My friends are going to be late. Today mine mother is in Barcelona.")
+
+
+translator = ctranslate2.Translator(model_dir)
+translated = translator.translate_batch([tokenized[0]])
+print(tokenizer.detokenize(translated[0][0]['tokens']))
+```
+
+# Model
+
+The model has been training using the [clang8](https://github.com/google-research-datasets/clang8) corpus for English language.
+
+Details:
+  * Model: TransformerBase
+  * Tokenizer: SentencePiece
+  * BLEU = 85.50
+
+# Papers
+
+Relevant papers:
+
+* [Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task](https://aclanthology.org/N18-1055.pdf)
+* [A Simple Recipe for Multilingual Grammatical Error Correction](https://arxiv.org/pdf/2106.03830.pdf)
+
+
+# Contact
+
+Email address: Jordi Mas: jmas@softcatala.org

model.bin

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