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Opus Mt Ase En

Developed by Helsinki-NLP
Transformer-based machine translation model for translating American Sign Language (ASE) to English (EN)
Downloads 16
Release Time : 3/2/2022

Model Overview

This model is part of the OPUS-MT project, specifically designed for machine translation tasks from American Sign Language to English, using transformer-align architecture and SentencePiece preprocessing.

Model Features

High-precision translation
Achieves 99.5 BLEU score on the JW300 test set, demonstrating excellent performance
Standardized preprocessing
Utilizes standardization and SentencePiece techniques for text preprocessing
Alignment mechanism
Uses transformer-align architecture to achieve alignment between source and target languages

Model Capabilities

Sign language to English translation
Cross-language text conversion

Use Cases

Accessibility services
Real-time sign language translation
Translates American Sign Language content into English text in real-time
High-accuracy translation (BLEU 99.5)
Education
Sign language learning aid
Helps learners understand the correspondence between sign language and English
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