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Developed by Helsinki-NLP
This is a machine translation model trained on the OPUS dataset for English to Shona, using the transformer-align architecture, supporting standardized preprocessing and SentencePiece tokenization.
Downloads 445
Release Time : 3/2/2022

Model Overview

This model is primarily used for translating English text into Shona, suitable for scenarios requiring English-Shona bilingual conversion.

Model Features

Based on OPUS Dataset
Trained using the high-quality OPUS multilingual parallel corpus to ensure translation quality.
Transformer-align Architecture
Utilizes the advanced transformer-align architecture to better handle language alignment issues.
Standardized Preprocessing
Employs standardized preprocessing and SentencePiece tokenization to enhance model processing efficiency.

Model Capabilities

English to Shona text translation
Handles standardized text
Supports SentencePiece tokenization

Use Cases

Language Translation
Document Translation
Translate English documents into Shona
Achieved a BLEU score of 38.0 on the JW300 test set
Content Localization
Assist in localizing English content into Shona
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