opus-mt-war-en Open-Source Machine Translation Model - Free Translation between Waray (Philippines) and English

Opus Mt War En

Developed by Helsinki-NLP

This is a Waray (Philippines) to English machine translation model based on transformer-align architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Low-resource language translation #Transformer architecture #SentencePiece preprocessing

Downloads 64

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Waray (Philippines) to English, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Transformer-align architecture

Utilizes advanced transformer-align architecture to optimize translation alignment effects

Standardized preprocessing

Employs standardized preprocessing and SentencePiece tokenization techniques

Multilingual support

Specialized in Waray to English translation tasks

Model Capabilities

Text translation

Cross-language conversion

Use Cases

Language translation

Waray content translation

Translate Waray text into English

BLEU score 12.3, chr-F score 0.308

🚀 Waray (Philippines) to English Translation Model

This project focuses on providing a translation model from Waray (Philippines) to English, aiming to bridge the language gap between these two language communities.

✨ Features

Language Pair: Translates from Waray (Philippines) to English.
Model Type: Uses the transformer-align model.
Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k) techniques.

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

General Information

Property	Details
Source Group	Waray (Philippines)
Target Group	English
OPUS Readme	war-eng
Model Type	transformer-align
Source Language(s)	war
Target Language(s)	eng
Pre - processing	normalization + SentencePiece (spm4k,spm4k)
Download Original Weights	opus-2020-06-16.zip
Test Set Translations	opus-2020-06-16.test.txt
Test Set Scores	opus-2020-06-16.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.war.eng	12.3	0.308

System Info

Property	Details
hf_name	war-eng
source_languages	war
target_languages	eng
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/war-eng/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['war', 'en']
src_constituents	{'war'}
tgt_constituents	{'eng'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm4k,spm4k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.test.txt
src_alpha3	war
tgt_alpha3	eng
short_pair	war-en
chrF2_score	0.308
bleu	12.3
brevity_penalty	1.0
ref_len	11345.0
src_name	Waray (Philippines)
tgt_name	English
train_date	2020-06-16
src_alpha2	war
tgt_alpha2	en
prefer_old	False
long_pair	war-eng
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