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Opus Mt En Pag

Developed by Helsinki-NLP
OPUS-MT machine translation model from English to Pangasinan, based on Transformer architecture, trained using OPUS datasets.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#English-Pangasinan Translation#Transformer-based#Multi-domain Applicability
Downloads 43
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating English to Pangasinan. It employs alignment mechanisms and SentencePiece tokenization, achieving a BLEU score of 37.9 on the JW300 test set.

Model Features

Transformer-based Alignment Architecture
Utilizes transformer-align architecture to better handle alignment relationships between source and target languages.
SentencePiece Tokenization
Employs SentencePiece for text preprocessing, effectively handling vocabulary features across different languages.
Trained on OPUS Datasets
Trained on the multilingual parallel corpus OPUS, offering strong generalization capabilities.

Model Capabilities

Text translation from English to Pangasinan
Handling translations of everyday language and technical terms

Use Cases

Language Services
Document Translation
Translate English documents into Pangasinan
Achieved a BLEU score of 37.9 on the JW300 test set
Cross-language Communication Aid
Assist English speakers in written communication with Pangasinan speakers
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