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Opus Mt Hy En

Developed by Helsinki-NLP
A Transformer-based machine translation model for Armenian to English, developed by the Helsinki-NLP team.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Armenian-English Translation#Transformer-based#Multi-domain Applicability
Downloads 189
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Armenian (hy) to English (en). It is trained on the OPUS dataset, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Transformer-based Architecture
Utilizes the advanced transformer-align architecture to effectively handle alignment relationships between languages.
Standardized Preprocessing
Employs a standardized preprocessing pipeline to enhance translation quality and consistency.
SentencePiece Tokenization
Uses SentencePiece tokenization to effectively process special characters and vocabulary in Armenian.

Model Capabilities

Armenian to English text translation
Handles translations of both everyday language and specialized terminology

Use Cases

Text Translation
Daily Conversation Translation
Translates everyday Armenian conversations into English.
Achieved a BLEU score of 29.5 on the Tatoeba test set.
Document Translation
Translates Armenian documents into English.
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