Abstract

Annotation Contributors split nearly equally between scholars of linguistics and of technical matters such as computer science and information discuss recent developments in designing and implementing computational machinery that communicates with humans using natural language. Emphasizing practical tools and techniques and minimizing speculation and polemic, they cover symbolic approaches that have their origins in generative linguistics, approaches based on empirical corpus analysis, and artificial neural network approaches. Among the topics are discourse structure and intentional recognition, generating multimedia presentations, creating a corpus for data-intensive linguistics, example-based machine translation, character recognition with syntactic neural networks, knowledge representation, and text data mining. Annotation c. Book News, Inc., Portland, OR (booknews.com).

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