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Abstract

The translation of foreign language texts by computers was one of the first tasks that the pioneers of Computing and Artificial Intelligence set themselves. Machine translation is again becoming an importantfield of research and development as the need for translations of technical and commercial documentation is growing well beyond the capacity of the translation profession.This is the first textbook of machine translation, providing a full course on both general machine translation systems characteristics and the computational linguistic foundations of the field. The book assumes no previous knowledge of machine translation and provides the basic background information to the linguistic and computational linguistics, artificial intelligence, natural language processing and information science.

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Content

Vgl. auch die Standpunkte in: Collins, H.M.: A review of Hubert Dreyfus' What computers still can't do in: Artificial intelligence 80(1996) no.1, S.99-191.

Footnote

HST und ZST werden in verschiedenen Katalogen auch in vertauschter Reihenfolge angegeben (vgl. die Gestaltung des Covers und Titelblatts). Titel des Original: What computer can't do: the limits of artificial intelligence.

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Series

Prentice Hall series in artificial intelligence

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Abstract

As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.

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Date

22. 3.2008 14:24:08