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Opus Mt De Pl

Developed by Helsinki-NLP
German to Polish machine translation model trained on OPUS data, using transformer-align architecture
Downloads 1,103
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating German text into Polish. It was trained and released by the Helsinki-NLP team, using the OPUS multilingual parallel corpus as training data.

Model Features

Based on OPUS dataset
Trained using the large-scale multilingual parallel corpus OPUS to ensure translation quality
transformer-align architecture
Utilizes a transformer model with alignment mechanism to improve translation accuracy
Standardized preprocessing
Employs standardization and SentencePiece tokenization techniques for text preprocessing

Model Capabilities

German to Polish text translation
Supports batch translation
Handles everyday language and professional terminology

Use Cases

Text translation
Document translation
Translate German documents into Polish
Achieved a BLEU score of 41.2 on the Tatoeba test set
Website localization
Assist in localizing German website content into Polish
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