opus mt ja en

Introduction

The OPUS-MT-JA-EN model is a machine translation model developed by the Language Technology Research Group at the University of Helsinki. It is designed to translate text from Japanese to English using the OPUS dataset, employing the Marian NMT framework.

Architecture

• Model Type: Transformer-align
• Source Language: Japanese (ja)
• Target Language: English (en)
• Pre-processing: Normalization and SentencePiece tokenization

Training

The model was trained on the OPUS dataset, which is a collection of parallel texts in various languages. The original weights of the model are available for download, and the model was evaluated using the Tatoeba test set, achieving a BLEU score of 41.7 and a chr-F score of 0.589.

Guide: Running Locally

1. Download Model Weights: Obtain the model weights from the OPUS repository using the link provided: opus-2019-12-18.zip.

2. Pre-processing: Apply normalization and SentencePiece tokenization to your input data.

3. Installation: Ensure that you have the Marian NMT framework installed, along with dependencies like Python and PyTorch.

4. Execution: Use the Marian tools to run translations with the downloaded model weights.

5. Cloud GPUs: For faster processing, consider using cloud services like Google Cloud, AWS, or Azure that offer GPU instances.

License

The model is licensed under the Apache 2.0 License, allowing for both personal and commercial use with proper attribution.