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Opus Mt Pl Sv

Developed by Helsinki-NLP
A Transformer-based machine translation model from Polish to Swedish, developed by the Helsinki-NLP team and trained on the OPUS dataset.
Downloads 43
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on an alignment mechanism, specifically designed for translating Polish text into Swedish. It employs standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Alignment Mechanism
Utilizes the transformer-align architecture to better handle alignment relationships between source and target languages.
Standardized Preprocessing
Employs a standardized text preprocessing pipeline to enhance translation consistency.
SentencePiece Tokenization
Uses SentencePiece for subword segmentation, effectively handling out-of-vocabulary words.

Model Capabilities

Text Translation
Cross-language Conversion

Use Cases

Text Translation
Document Translation
Translate Polish documents into Swedish
Achieved a BLEU score of 58.9 on the Tatoeba test set
Web Content Localization
Localize Polish web content for Swedish users
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