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Opus Mt Tc Big En Lv

Developed by Helsinki-NLP
This is a neural machine translation model for English to Latvian translation, part of the OPUS-MT project, using transformer-big architecture.
Downloads 78
Release Time : 4/13/2022

Model Overview

This model is specifically designed for translating English text into Latvian, trained on large-scale multilingual datasets and suitable for various translation scenarios.

Model Features

Multi-dataset Training
The model is trained on multiple datasets including OPUS and Tatoeba-Challenge, enhancing its generalization capability.
High-performance Translation
Performs excellently on multiple test sets, achieving a maximum BLEU score of 44.0.
Supports Multiple Evaluation Standards
The model has been evaluated on various standard test sets such as flores101-devtest and newsdev2017.

Model Capabilities

Text translation from English to Latvian
Supports translation in multiple specialized domains

Use Cases

Text Translation
Daily Phrase Translation
Translates everyday English sentences into Latvian.
BLEU score 44.0 (tatoeba-test-v2021-08-07)
News Translation
Translates English news content into Latvian.
BLEU score 22.1 (newstest2017)
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