Machine Translation

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Exploring the intricacies of machine translation, the book delves into rule-based, statistical, and example-based methods, highlighting language divergence as a key challenge. It features detailed examples and discusses word alignment, IBM models, and the mathematics behind phrase-based SMT. The text offers comprehensive insights into interlingua-based and transfer-based RBMT, while also analyzing EBMT techniques for extracting and recombining translation components to facilitate automatic translation of new inputs.