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Opus Mt Lv En

Developed by Helsinki-NLP
A Transformer-based Latvian to English machine translation model developed by the Helsinki-NLP team.
Downloads 2,712
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Latvian to English. It was trained using the OPUS dataset and employs SentencePiece for text preprocessing.

Model Features

Transformer-based Architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing the model's processing capabilities.
Multi-dataset Evaluation
Evaluated on multiple test sets, including newsdev2017 and Tatoeba.

Model Capabilities

Latvian to English text translation
Supports long text translation
Supports batch translation

Use Cases

Text Translation
News Translation
Translate Latvian news content into English.
Achieved a BLEU score of 29.9 on the newsdev2017 test set.
Daily Conversation Translation
Translate Latvian daily conversations into English.
Achieved a BLEU score of 53.3 on the Tatoeba test set.
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