Sequence-to-Sequence Models for Language Translation
Analytics Vidhya
MAY 17, 2024
Introduction In natural language processing (NLP), sequence-to-sequence (seq2seq) models have emerged as a powerful and versatile neural network architecture. These models excel at various complex tasks such as machine translation, text summarization, and dialogue systems, fundamentally transforming how machines understand and generate human language.
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