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Opus Mt Tr Es

Developed by Helsinki-NLP
Transformer-based Turkish to Spanish machine translation model developed by Helsinki-NLP team
Downloads 280
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model trained on the OPUS dataset, specifically designed for Turkish to Spanish translation tasks. It employs Transformer-align architecture and SentencePiece preprocessing technology.

Model Features

Alignment mechanism
Uses transformer-align architecture to better handle alignment between source and target languages
Standardized preprocessing
Employs normalization and SentencePiece techniques for text preprocessing to enhance translation quality
OPUS dataset training
Trained on the multilingual parallel corpus OPUS, covering a wide range of domains and contexts

Model Capabilities

Turkish to Spanish text translation
Handles both everyday language and professional terminology translation

Use Cases

Cross-language communication
Travel translation
Assists Turkish tourists in basic communication with Spanish speakers
Achieved 56.3 BLEU score on Tatoeba test set
Business document translation
Translates simple business documents and emails
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