O

Opus Mt Fr Ho

Developed by Helsinki-NLP
OPUS-MT machine translation model for French to Hiri Motu, based on Transformer architecture, trained using OPUS dataset.
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating French into Hiri Motu language. It employs standardization and SentencePiece preprocessing techniques, suitable for general text translation tasks.

Model Features

Transformer-based architecture
Utilizes advanced Transformer neural network architecture to deliver high-quality translation results.
Trained on OPUS dataset
Trained using the large-scale multilingual OPUS dataset, covering a wide range of language pairs.
Standardized preprocessing
Employs standardization and SentencePiece techniques for text preprocessing to enhance model processing capabilities.

Model Capabilities

French to Hiri Motu text translation
Supports general text translation tasks

Use Cases

Language translation
Document translation
Translate French documents into Hiri Motu language
Achieved 25.4 BLEU score on JW300 test set
Cross-language communication
Facilitates communication between French and Hiri Motu speakers
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase