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Opus Tatoeba En Ja
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Opus Tatoeba En Ja

Developed by Helsinki-NLP
An English-Japanese translation model based on the transformer-align architecture, utilizing standardized and SentencePiece preprocessing, released by the Helsinki-NLP team.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#English-Japanese Translation#transformer-align architecture#SentencePiece preprocessing
Downloads 1,851
Release Time : 3/2/2022

Model Overview

This model is specifically designed for English-to-Japanese machine translation tasks, employing the transformer-align architecture and supporting standardized text input and SentencePiece tokenization.

Model Features

Based on transformer-align architecture
Utilizes the advanced transformer-align architecture with optimized alignment mechanisms to improve translation quality.
Standardized preprocessing
Input text undergoes standardized processing to enhance the model's robustness to diverse inputs.
SentencePiece tokenization
Uses the spm32k SentencePiece model for tokenization, effectively handling complex Japanese character sets.

Model Capabilities

English-to-Japanese text translation
Handles standardized text input
Supports complex Japanese character sets

Use Cases

Text translation
Daily phrase translation
Translates English daily phrases into Japanese
BLEU 15.2 (Tatoeba-test dataset)
Simple sentence translation
Translates simple English sentences into Japanese
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