Machine Translation, Gebunden

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This comprehensive guide covers traditional approaches, statistical machine translation (SMT) and the transformative impact of neural networks and transformers. It explores the practical applications of large language models (LLMs) like GPT, addressing evaluation metrics and ongoing research challenges. Ideal for researchers, practitioners and students in natural language processing (NLP) and artificial intelligence (AI), Machine Translation bridges theoretical foundations with real-world applications, offering valuable insights into the future of machine translation technology to understand the full spectrum of machine translation advancements, from foundational theories to the latest generative AI technologies.