Opus-mt-id-en Open-source Machine Translation Model - Free Deployment for Efficient Indonesian-to-English Translation

Opus Mt Id En

Developed by Helsinki-NLP

A Transformer-based Indonesian-to-English machine translation model developed by the Helsinki-NLP team, trained on the OPUS dataset.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Indonesian-English translation #Transformer-based #SentencePiece preprocessing

Downloads 29.53k

Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Indonesian text into English. It employs alignment mechanisms and SentencePiece preprocessing, trained on the OPUS dataset.

Model Features

Alignment mechanism

Uses transformer-align architecture to enhance alignment capability between source and target languages

Standardized preprocessing

Employs standardization and SentencePiece for text preprocessing to improve translation quality

OPUS dataset training

Trained on multi-domain OPUS parallel corpus with good generalization capability

Model Capabilities

Indonesian-to-English text translation

Handling translations of everyday language and professional terminology

Use Cases

Text translation

Document translation

Translate Indonesian documents into English

Achieved 47.7 BLEU score on Tatoeba test set

Web content translation

Real-time translation of Indonesian web content into English

Testset	BLEU	chr-F
Tatoeba.id.en	47.7	0.647

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Opus Mt Id En

Model Overview

Model Features

Model Capabilities

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