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Opus Mt En Ht

Developed by Helsinki-NLP
A Transformer-based English to Haitian Creole machine translation model developed by Helsinki-NLP team, trained using OPUS dataset.
Downloads 463
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation system specifically designed for translating English text into Haitian Creole. It adopts the standard Transformer architecture and uses SentencePiece for text preprocessing.

Model Features

Alignment Mechanism
Uses transformer-align architecture to learn alignment relationships between source and target languages
Standardized Preprocessing
Employs standardization and SentencePiece for text preprocessing to enhance translation quality
Multi-domain Support
Trained on OPUS multi-domain dataset, suitable for various text types

Model Capabilities

English to Haitian Creole text translation
Handles multiple text types (news, religious texts, etc.)

Use Cases

Religious Text Translation
JW300 Bible Text Translation
Translating religious-related texts
BLEU 38.3
General Translation
Tatoeba Sentence Translation
Translating daily expressions and simple sentences
BLEU 45.2
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