Learning Machine Translation

Learning Machine Translation

Cyril Goutte , Nicola Cancedda , Marc Dymetman
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2008 · Inglés · Tapa dura · 2 ediciones
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Descripción

In an era where information knows no linguistic barriers, the exploration of machine translation emerges as a vital pursuit. The expertise of numerous scholars and professionals comes together to unravel the complexities of translating languages through advanced technologies. Readers are invited into a world where linguistic diversity isn't a limitation but rather an opportunity for deeper understanding and global connectivity.

This publication delves into the mechanisms that drive machine translation, examining both its theoretical foundations and practical applications. It addresses the latest methodologies and innovations, providing insights that benefit researchers, developers, and translators alike. The authors share their collective knowledge, enriching the narrative with real-world examples and case studies.

As the scope of translation expands with the advent of artificial intelligence, the text serves as a guide to navigating this rapidly evolving landscape. By highlighting the challenges and triumphs encountered in the field, it not only informs but inspires future advancements in making language accessible to all.

Detalles del libro

Formato Tapa dura
Páginas 328 páginas
Idioma Inglés
Publicado Nov 14, 2008
Editorial MIT Press
Ediciones 2 ediciones
ISBN-10 0262072971
ISBN-13 9780262072977
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