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Opus Mt En Om

Developed by Helsinki-NLP
OPUS-MT machine translation model from English to Oromo, based on Transformer architecture, trained using OPUS datasets.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#English-Oromo Translation#Transformer-based#Multi-domain Applicability
Downloads 158
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating English text into Oromo. It was developed by the Helsinki-NLP team and trained using publicly available OPUS datasets.

Model Features

Transformer-based Architecture
Utilizes advanced Transformer architecture to deliver high-quality translation results.
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing model processing capabilities.
Trained on Public Datasets
Trained using OPUS public datasets to ensure broad and diverse data sources.

Model Capabilities

Text translation from English to Oromo

Use Cases

Language Translation
Document Translation
Translating English documents into Oromo, suitable for multilingual document processing.
Cross-language Communication
Assisting real-time communication between English and Oromo speakers.
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