Corpus-based approaches to word sense identification have flexibility and generality but
suffer from a knowledge acquisition bottleneck. We show how knowledge-based techniques …

There are many cases in which the natural translation of one language into another results
in a very different form than that of the original. The existence of translation divergences (ie …

From the Publisher: This is the first book devoted exclusively to knowledge-based machine
translation. While most approaches to the machine translation for natural languages seek …

Graphical presentations can be used to communicate information in relational data sets
succinctly and effectively. However, novel graphical presentations that represent many …

One of the aims of Natural Language Processing is to facilitate. the use of computers by
allowing their users to communicate in natural language. There are two important aspects to …

Abstract Rhetorical Structure Theory (RST) has emerged as a promising candidate for text
representation in NLG. We investigated the applicability of RST in the automatic production …

In this paper, we discuss the different strategies used in COMET (COordinated Multimedia
Explanation Testbed) for selecting words with which the user is familiar. When pictures …

This paper presents the Joyce system as an example of a fully-implemented, application-
oriented text generation system. Joyce covers the whole range of tasks associated with text …

A Computational Theory of Prose Style for Natural Language Generation Page 1 A
Computational Theory of Prose Style for Natural Language Generation David D. McDonald …

The topic of this book is the theoretical foundations of a theory LSLT--Lexical Semantic
Language Theory-and its implementation in a the system for text analysis and …