Machine Translation : A Knowledge-Based Approach

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by Sergei Nirenburg, Jaime Carbonell, Masaru Tomita, Kenneth Goodman (Editor)

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Book Description
This book is an introduction to knowledge-based machine translation. The authors introduce knowledge-based Machine Translation (MT); survey developments in MT; compare it with other approaches, and present a paradigmatic view of its component processes-natural language analysis, natural language generation, text meaning representation, and ontological modeling. The authors also discuss research and developments likely to thrive in the years to come. This book will be of interest to researchers, developers and advanced students in natural language processing and computational linguistics, and to some philosophers of language.

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