encoder-decoder
[en-KOH-der dee-KOH-der]
nounpl: encoder-decoders
codificador-decodificador
1. A machine learning architecture consisting of two main components: an encoder that processes input data and compresses it into a context vector, and a decoder that generates output from that representation
The encoder-decoder model is widely used in neural machine translation to convert text from one language to another.
O modelo codificador-decodificador é amplamente utilizado em tradução automática neural para converter texto de um idioma para outro.
2. A computational system that transforms encoded information into a human-readable or usable format through paired encoding and decoding processes
Modern video compression uses an encoder-decoder architecture to reduce file size while maintaining quality.
A compressão de vídeo moderna utiliza uma arquitetura codificador-decodificador para reduzir o tamanho do arquivo mantendo a qualidade.
3. In deep learning, a neural network structure with symmetrical or complementary pathways for information compression and reconstruction
The encoder-decoder framework has become fundamental in sequence-to-sequence models for natural language processing.
O framework codificador-decodificador tornou-se fundamental em modelos sequência-para-sequência para processamento de linguagem natural.
The term 'encoder-decoder' is primarily used in technical and academic contexts and is often retained in English even in Portuguese-language scientific literature. In Brazil, there has been increased adoption of this term in AI/ML education and industry. The architecture became particularly prominent following the success of transformer models in natural language processing around 2017-2018, and is now standard terminology in both Portuguese and English-speaking AI communities.
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