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Resumen: This in an ideal text for introducing linguistics at the undergraduate level. It is the product of many years of colaboration in teaching introductory linguistics courses at the University of Arizona. Concentrating on how linguistics actually do linguistics, the book presents more than just facts and results to students; it shows in simple and concise terms how one goes about arguing for a position, how evidence is gathered, and how hypotheses are tested.

Resumen: This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning. Finally, it considers evaluation challenges and the commercial status of the field, including activities by such major players as Google and Systran.