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Opus Mt Ja En

Developed by Helsinki-NLP
Japanese to English neural machine translation model trained on OPUS data, using Transformer architecture and SentencePiece tokenization
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Japanese to English translation#Transformer-based#SentencePiece preprocessing
Downloads 41.11k
Release Time : 3/2/2022

Model Overview

This is a neural machine translation model developed by the Helsinki-NLP team, specifically designed for translating Japanese text into English. The model is based on the Transformer architecture and trained using the OPUS multilingual parallel corpus.

Model Features

Transformer-based architecture
Utilizes advanced Transformer neural network architecture to deliver high-quality translation results
SentencePiece tokenization
Employs SentencePiece for text preprocessing, effectively handling vocabulary differences between Japanese and English
Trained on OPUS dataset
Trained on the large-scale multilingual parallel corpus OPUS, covering diverse domains

Model Capabilities

Japanese to English text translation
Handling everyday language and technical terms
Support for translation across various text domains

Use Cases

Text translation
Daily conversation translation
Translate Japanese daily conversations into English
Achieved 41.7 BLEU score on Tatoeba test set
Document translation
Translate Japanese documents into English
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