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Opus Mt Mk En

Developed by Helsinki-NLP
A Transformer-based neural machine translation model for Macedonian to English, developed by the Helsinki-NLP team.
Downloads 392
Release Time : 3/2/2022

Model Overview

This model is a machine translation model for Macedonian (mk) to English (en), trained on the OPUS dataset, utilizing the transformer-align architecture and SentencePiece preprocessing technology.

Model Features

Alignment mechanism
Uses transformer-align architecture, potentially including word alignment capabilities
Standardized preprocessing
Employs standardization and SentencePiece techniques for text preprocessing
High-quality translation
Achieves 59.8 BLEU score on the Tatoeba test set

Model Capabilities

Text translation from Macedonian to English
Handles standardized text input
Generates fluent English translations

Use Cases

Language services
Document translation
Translate Macedonian documents into English
Achieves 59.8 BLEU score on the Tatoeba test set
Cross-language communication
Facilitates communication between Macedonian and English speakers
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