Metodebevisregistrering

Multilingual Recurrent Neural Network

A Multilingual Recurrent Neural Network (Multilingual RNN) applies the standard RNN architecture — which processes sequences step by step while maintaining a hidden state — to data spanning two or more languages. By training on multilingual corpora or sharing parameters across languages, the model learns cross-lingual sequence representations useful for translation, tagging, classification, and language modeling tasks.

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Multilingual Recurrent Neural Network (Cross-lingual RNN)

Taksonomisk metoderegistrering · ml-model / deep-learning

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