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Opus Mt Tr En

Developed by Helsinki-NLP
A neural machine translation model trained on OPUS data for Turkish to English, using transformer-align architecture with SentencePiece preprocessing.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Turkish-English translation#Transformer-based#SentencePiece preprocessing
Downloads 35.14k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Turkish text into English, suitable for general text translation tasks.

Model Features

Trained on OPUS data
Trained on multi-domain parallel corpora, demonstrating strong general translation capabilities
transformer-align architecture
Utilizes transformer model with alignment mechanism to better handle correspondence between language pairs
SentencePiece preprocessing
Employs subword units to effectively address rare word translation issues

Model Capabilities

Turkish to English text translation
General domain text translation

Use Cases

Text Translation
News translation
Translate Turkish news content into English
Achieves BLEU score of 27.6 on newsdev2016 test set
Daily phrase translation
Translate daily conversations and simple texts
Achieves BLEU score of 63.5 on Tatoeba test set
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