Opus-mt-th-en Open-source Thai-to-English Translation Model - Free Thai-English Language Conversion

Opus Mt Th En

Developed by Helsinki-NLP

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

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Thai-English Translation #High Precision BLEU48 #SentencePiece Tokenization

Downloads 23.62k

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Thai text into English, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-Quality Translation

Achieves 48.1 BLEU score and 0.644 chr-F score on the Tatoeba test set

Standardized Preprocessing

Uses standardization and SentencePiece tokenization (spm32k) for text preprocessing

Dedicated Language Pair

Specifically optimized for Thai-to-English translation tasks

Model Capabilities

Thai-to-English text translation

Processing standardized Thai text

Generating fluent English translations

Use Cases

Language Translation

Daily Conversation Translation

Translate Thai daily conversations into English

Fluid and natural English expressions

Simple Text Translation

Translate simple Thai texts like news and articles

Accurate translations preserving original semantics

🚀 tha-eng Translation Model

This project focuses on Thai - English translation. It provides a specific model and related data for translation tasks, along with benchmark test results.

✨ Features

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

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

Model Information

Source Group: Thai
Target Group: English
OPUS Readme: tha - eng
Model: transformer-align
Source Language(s): tha
Target Language(s): eng
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.tha.eng	48.1	0.644

System Info

Property	Details
hf_name	tha - eng
source_languages	tha
target_languages	eng
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tha-eng/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['th', 'en']
src_constituents	{'tha'}
tgt_constituents	{'eng'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.test.txt
src_alpha3	tha
tgt_alpha3	eng
short_pair	th - en
chrF2_score	0.644
bleu	48.1
brevity_penalty	0.9740000000000001
ref_len	7407.0
src_name	Thai
tgt_name	English
train_date	2020 - 06 - 17
src_alpha2	th
tgt_alpha2	en
prefer_old	False
long_pair	tha - eng
helsinki_git_sha	480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha	2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine	brutasse
port_time	2020 - 08 - 21 - 14:41

🔧 Technical Details

No technical implementation details are provided in the original document, so this section is skipped.

📄 License

This project is licensed under the Apache - 2.0 license.

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