opus mt da en

Introduction

The OPUS-MT-DA-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 Danish (da) to English (en). This model is a part of the OPUS project, which provides open-source parallel corpora and machine translation models.

Architecture

The OPUS-MT-DA-EN model utilizes a transformer architecture with alignment for translation tasks. The model's training involved pre-processing steps, including normalization and the use of SentencePiece, a data-driven subword tokenization technique.

Training

The model was trained using the OPUS dataset, which is a collection of multilingual parallel corpora. The training process involved downloading and using original weights from the dataset dated December 18, 2019. The model's performance was evaluated using a test set, with results showing a BLEU score of 63.6 and a chr-F score of 0.769 on the Tatoeba.da.en test set.

Guide: Running Locally

To run the OPUS-MT-DA-EN model locally, follow these steps:

1. Installation: Ensure you have Python and the necessary libraries, such as Transformers and PyTorch, installed.
2. Download Model: Obtain the model weights from the provided link: opus-2019-12-18.zip.
3. Load Model: Use the Transformers library to load the model and tokenizer.
4. Inference: Input Danish text and receive English translations.

For optimal performance, consider using cloud-based GPUs such as those offered by AWS, Google Cloud, or Azure.

License

The OPUS-MT-DA-EN model is licensed under the Apache 2.0 License, allowing for use, distribution, and modification under specified terms.