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Opus Mt Ca En
opus-mt-ca-en is a machine translation model based on the transformer-align architecture, specifically designed for translating Catalan (ca) to English (en). This model was developed by the Helsinki-NLP team and trained using the OPUS dataset.
Downloads 8,015
Release Time : 3/2/2022
Model Overview
This model is a machine translation model capable of translating Catalan text into English. It employs the transformer-align architecture and uses SentencePiece for preprocessing.
Model Features
Transformer-align architecture
The model adopts the transformer-align architecture, effectively handling language alignment issues to improve translation quality.
SentencePiece preprocessing
The model standardizes and preprocesses text with SentencePiece before training, enhancing its generalization capability.
High-performance translation
On the Tatoeba.ca.en test set, the model achieved a BLEU score of 51.4 and a chr-F score of 0.678, demonstrating excellent performance.
Model Capabilities
Catalan to English text translation
Supports standardized text input
Supports SentencePiece tokenization
Use Cases
Language translation
Catalan document translation
Translate Catalan documents or web content into English for international communication.
Performs well on the Tatoeba test set with a BLEU score of 51.4.
Multilingual application integration
Integrate into multilingual applications or services to provide real-time Catalan to English translation.
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