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Opus Mt En Lg

Developed by Helsinki-NLP
opus-mt-en-lg is a machine translation model based on the Transformer architecture, designed to translate English (en) to Luganda (lg). This model was developed and released by the Helsinki University Natural Language Processing team (Helsinki-NLP).
Downloads 80
Release Time : 3/2/2022

Model Overview

This model is a machine translation model trained on the OPUS dataset, specifically for English-to-Luganda translation tasks. It employs the Transformer-align architecture and utilizes standardized preprocessing and SentencePiece techniques.

Model Features

Based on OPUS Dataset
The model was trained using the OPUS dataset, which contains parallel corpora for multiple languages.
Transformer-align Architecture
It adopts the Transformer-align architecture, which better handles alignment issues and improves translation quality.
Standardized and SentencePiece Preprocessing
It uses standardized preprocessing and SentencePiece techniques, effectively enhancing training efficiency and translation performance.

Model Capabilities

English-to-Luganda Machine Translation

Use Cases

Language Translation
Translating English Text to Luganda
Automatically translates English text into Luganda, suitable for cross-language communication, document translation, and similar scenarios.
Achieves a BLEU score of 30.4 and a chr-F score of 0.543 on the JW300 test set.
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