Buch, Englisch, 456 Seiten, Format (B × H): 158 mm x 236 mm, Gewicht: 839 g
Reihe: Artificial Intelligence
Buch, Englisch, 456 Seiten, Format (B × H): 158 mm x 236 mm, Gewicht: 839 g
Reihe: Artificial Intelligence
ISBN: 978-0-262-04138-6
Verlag: Penguin Random House LLC
This book describes a novel, cross-linguistic approach to machine
translation that solves certain classes of syntactic and lexical divergences by
means of a lexical conceptual structure that can be composed and decomposed in
language-specific ways. This approach allows the translator to operate uniformly
across many languages, while still accounting for knowledge that is specific to each
language.The translation model can be used to map a source-language sentence to a
target-language sentence in a principled fashion. It is built on the basis of a
parametric approach, making it easy to change from one language to another (by
setting syntactic switches for each language and providing lexical descriptions for
each language) without having to write a whole new processor for each
language.Dorr's approach advances the field of machine translation in a number of
important ways: it provides a uniform processor in which the same syntactic and
lexical-semantic processing modules are used for each language; it is interlingual,
able to derive an underlying language-independent form of the source language that
allows any of the three target languages - Spanish, English, or German - to be
produced from this form; and it describes a systematic mapping between the
lexical-semantic level and the syntactic level that allows the appropriate
target-language words to be selected and realized, despite the potential for
syntactic and lexical divergences.Bonnie Jean Dorr is Assistant Professor in the
Computer Science Department at the University of Maryland.
