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Opus Mt En Ceb

Developed by Helsinki-NLP
This is a Transformer-based machine translation model from English to Cebuano, developed by the Helsinki-NLP team.
Downloads 288
Release Time : 3/2/2022

Model Overview

This model is used for translating English text into Cebuano, employing the transformer-align architecture and supporting normalization and SentencePiece preprocessing.

Model Features

Transformer-based Architecture
Utilizes the transformer-align architecture to deliver high-quality translation results.
Normalization Preprocessing
Supports normalization and SentencePiece preprocessing to enhance translation quality.
Multi-dataset Training
Trained on the OPUS dataset, covering a wide range of corpora.

Model Capabilities

English to Cebuano text translation
Supports normalization preprocessing
Supports SentencePiece tokenization

Use Cases

Text Translation
English to Cebuano Document Translation
Translates English documents into Cebuano, suitable for multilingual document processing.
Achieves a BLEU score of 51.3 on the JW300 test set.
English to Cebuano Sentence Translation
Translates English sentences into Cebuano, suitable for real-time translation needs.
Achieves a BLEU score of 31.3 on the Tatoeba test set.
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