Opus - Tatoeba - fr - it Open - source Machine Translation Model - Freely Achieve Precise French - to

Opus Tatoeba Fr It

Developed by Helsinki-NLP

This is a French-to-Italian machine translation model based on the transformer-align architecture, released by Tatoeba-Challenge.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #French-Italian translation #High precision BLEU54.8 #SentencePiece preprocessing

Downloads 304

Release Time : 3/2/2022

Model Overview

This model is specifically designed for French-to-Italian text translation tasks, utilizing standardization and SentencePiece preprocessing methods.

Model Features

High-quality translation

Achieves 54.8 BLEU score and 0.737 chr-F score on the Tatoeba test set

Standardized preprocessing

Uses standardization and SentencePiece (spm32k) preprocessing methods

Open-source license

Licensed under Apache 2.0, allowing commercial and research use

Model Capabilities

French-to-Italian text translation

Handles standardized text input

Supports batch translation

Use Cases

Language services

Document translation

Translate French documents into Italian

Achieves 54.8 BLEU score on the Tatoeba test set

Content localization

Assist in localizing French content into Italian

Education

Language learning aid

Provide Italian translation references for French learners

🚀 fr-it Translation Model

This project focuses on French - Italian translation. It provides a transformer - align model for language translation, along with relevant test set data and evaluation scores.

🚀 Quick Start

The fr - it translation model is designed to translate French text into Italian. You can download the original weights and test set translations from the provided links.

✨ Features

Language Pair: Translates from French to Italian.
Model Type: Uses the transformer - align model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k).

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

Model Information

Property	Details
Source Group	French
Target Group	Italian
OPUS Readme	fra - ita
Model Type	transformer - align
Source Language(s)	fra
Target Language(s)	ita
Raw Source Language(s)	fra
Raw Target Language(s)	ita
Pre - processing	normalization + SentencePiece (spm32k, spm32k)
Download Original Weights	opusTCv20210807 - 2021 - 11 - 11.zip
Test Set Translations	opusTCv20210807 - 2021 - 11 - 11.test.txt
Test Set Scores	opusTCv20210807 - 2021 - 11 - 11.eval.txt

Benchmarks

testset	BLEU	chr - F	#sent	#words	BP
Tatoeba - test - v2021 - 08 - 07.fra - ita	54.8	0.737	10000	61517	0.953

System Info

hf_name: fr - it
source_languages: fra
target_languages: ita
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ita/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['fr', 'it']
src_constituents: ('French', {'fra'})
tgt_constituents: ('Italian', {'ita'})
src_multilingual: False
tgt_multilingual: False
long_pair: fra - ita
prepro: normalization + SentencePiece (spm32k, spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.test.txt
src_alpha3: fra
tgt_alpha3: ita
chrF2_score: 0.737
bleu: 54.8
src_name: French
tgt_name: Italian
train_date: 2021 - 11 - 11 00:00:00
src_alpha2: fr
tgt_alpha2: it
prefer_old: False
short_pair: fr - it
helsinki_git_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
transformers_git_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
port_machine: LM0 - 400 - 22516.local
port_time: 2021 - 11 - 11 - 19:40

📄 License

This project is licensed under the Apache - 2.0 license.

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