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Opus Mt En Kj

Developed by Helsinki-NLP
OPUS-MT machine translation model from English to Kuanyama, based on Transformer architecture and trained using the OPUS dataset.
Downloads 44
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating English text into Kuanyama.

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.
Multilingual support
Supports translation tasks from English to Kuanyama.

Model Capabilities

Text translation
Multilingual processing

Use Cases

Language translation
Document translation
Translates English documents into Kuanyama, suitable for multilingual document processing.
Achieves a BLEU score of 29.6 on the JW300 test set.
Cross-language communication
Facilitates real-time translation between English and Kuanyama, promoting cross-language communication.
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