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Opus Mt Guw En

Developed by Helsinki-NLP
opus-mt-guw-en is a machine translation model based on the transformer-align architecture, specifically designed for translating Gujarati (guw) to English (en).
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Gujarati translation#Multilingual support#Low-resource languages
Downloads 25
Release Time : 3/2/2022

Model Overview

This model is a machine translation model primarily used for translating Gujarati text into English. It is trained on the OPUS dataset and employs standardization and SentencePiece preprocessing techniques.

Model Features

Based on OPUS dataset
The model is trained using the OPUS dataset, which contains parallel corpora for multiple languages.
Standardized preprocessing
Input text undergoes standardization and SentencePiece preprocessing to enhance translation quality.
High-performance translation
Achieves high scores of 44.8 BLEU and 0.601 chr-F on the JW300.guw.en test set.

Model Capabilities

Text translation from Gujarati to English
Supports standardized text input
Supports SentencePiece tokenization

Use Cases

Language translation
Document translation
Translate Gujarati documents into English for cross-language communication.
High translation quality with a BLEU score of 44.8.
Real-time translation
Integrate into applications to achieve real-time translation from Gujarati to English.
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