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Opus Mt En Swc

Developed by Helsinki-NLP
Neural machine translation model trained on OPUS dataset for English to Swahili Congo dialect
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#English-Swahili Translation#Transformer-based#Multilingual Support
Downloads 216
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating English to Swahili Congo dialect (Swc). It was trained using the multilingual OPUS dataset and employs SentencePiece for text preprocessing.

Model Features

Based on OPUS Multilingual Data
Trained on the large-scale multilingual OPUS dataset, covering a wide range of language pairs
Transformer Alignment Architecture
Utilizes transformer-align architecture, optimizing alignment between source and target languages
Standardized Preprocessing
Employs SentencePiece for standardized text preprocessing, improving translation quality

Model Capabilities

Text translation from English to Swahili Congo dialect
Handles both formal and informal texts
Supports translation across various domains

Use Cases

Multilingual Applications
Cross-cultural Communication
Facilitates written communication between English speakers and Swahili Congo dialect speakers
Achieved 40.1 BLEU score on JW300 test set
Content Localization
Translates English content into Swahili Congo dialect versions
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