Machine Translation

, Volume 27, Issue 3–4, pp 309–312 | Cite as

Markus Dickinson, Chris Brew and Detmar Meurers: Language and Computers

Wiley-Blackwell, 2013, ISBN: 978-1 4051 8305 5, xviii \(+\) 232 pp
  • Jörg TiedemannEmail author
Book review
Language and Computers is an introduction to modern language technology aimed at students and other interested readers without background in computational linguistics. The book focuses on real-world tasks and guides the reader through common techniques and algorithms used in applications addressing those tasks. Key concepts and essential approaches are tightly integrated in the presentation of the applications that tackle various aspects of processing human language in different forms. The book is organized around principle questions that curious people may ask in connection with language technology:
  • How is language encoded in computers?

  • How can computers assist users when writing texts?

  • How can technology help to learn languages?

  • How can we efficiently find information?

  • How can we sort and filter textual documents?

  • How can we talk to computer systems?

  • How can computers help us to translate?

Each of these questions is discussed in one of the chapters trying to motivate readers to dig...


  1. Jurafsky D, Martin J (2009) Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. Prentice Hall series in artificial intelligence, Pearson Prentice Hall.
  2. Koehn P (2010) Statistical machine translation. Cambridge University Press.
  3. Somers H (1999) Review article: example-based machine translation. Mach Transl 14:113–158CrossRefGoogle Scholar
  4. Vauquois B (1976) Automatic translation a survey of different approaches. In: Statistical methods in linguistics, presented at Coling 1976, Ottawa, Canada, pp 127–135Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Uppsala UniversityUppsalaSweden

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