The opus-mt-ja-it open-source Japanese-Italian translation model offers free support for accurate mutual translation between Japanese and Italian.

Opus Mt Ja It

Developed by Helsinki-NLP

This is a Japanese-to-Italian machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Japanese-Italian translation #Multilingual text processing #SentencePiece tokenization

Downloads 242

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Japanese text into Italian, supporting Japanese input with various character variants including kanji, hiragana, and katakana.

Model Features

Multilingual character support

Supports Japanese input with various character variants including kanji, hiragana, katakana, and Latin alphabets

Standardized preprocessing

Utilizes standardized preprocessing and SentencePiece tokenization (spm32k) for text processing

Alignment mechanism

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

Model Capabilities

Japanese-to-Italian text translation

Handling mixed-script input

Use Cases

Language services

Document translation

Translate Japanese documents into Italian

Achieved 22.8 BLEU score on the Tatoeba test set

Cross-language communication

Facilitate communication between Japanese and Italian speakers

🚀 jpn-ita

This project focuses on Japanese - Italian translation. It provides a specific model and related data for this language pair.

✨ Features

Language Pair: It supports translation from Japanese to Italian.
Model: The transformer-align model is used.
Pre - processing: The pre - processing includes normalization and SentencePiece (spm32k,spm32k).

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

General Information

Source Group: Japanese
Target Group: Italian
OPUS Readme: jpn-ita
Model: transformer-align
Source Language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
Target Language(s): ita
Pre - processing: normalization + SentencePiece (spm32k,spm32k)
Download Original Weights: opus-2020-06-17.zip
Test Set Translations: opus-2020-06-17.test.txt
Test Set Scores: opus-2020-06-17.eval.txt

Benchmarks

Testset	BLEU	chr - F
Tatoeba - test.jpn.ita	22.8	0.460

System Info

Property	Details
hf_name	jpn - ita
source_languages	jpn
target_languages	ita
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['ja', 'it']
src_constituents	{'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
tgt_constituents	{'ita'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k,spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt
src_alpha3	jpn
tgt_alpha3	ita
short_pair	ja - it
chrF2_score	0.46
bleu	22.8
brevity_penalty	0.9540000000000001
ref_len	21500.0
src_name	Japanese
tgt_name	Italian
train_date	2020 - 06 - 17
src_alpha2	ja
tgt_alpha2	it
prefer_old	False
long_pair	jpn - ita
helsinki_git_sha	480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha	2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine	brutasse
port_time	2020 - 08 - 21 - 14:41

📄 License

This project is licensed under the Apache - 2.0 license.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご