Survey of Hallucination in Natural Language Generation

Natural Language Generation for dialogue: system survey

: Stochastic Natural Language Generation 3 Natural Language Understanding Natural Language Generation Surface

We describe a corpus-based approach to natural language generation (NLG). The approach has been implemented as a component of a spoken dialog system and a series of evaluations were carried out. Our system uses n-gram language models, which have been found useful in other language technology applications, in a generative mode. It is not yet clear whether the simple n-grams can adequately model ...

‏‎interpersonal function of language in subtitling

‏‎translation as a comunicative process is always said to be associated with various aspects of meaning loss or gain. subtitling as a mode of translating, due to special discoursal and textual conditions imposed upon it, is believed to be an obvious case of this loss or gain. presenting the spoken sound track of a film in writing and synchronizing the perception of this text by the viewers with...

Natural Language Generation in Artificial

A number of collections of papers from the field of natural language generation (NLG) have been published over the last few years: Kempen (1987), Zock and Sabah (1988), Dale, Mellish, and Zock (1990), and now the present volume. All have in common that they are derived in one way or another from workshops on the subject, and should therefore make available new and often exploratory research in ...

Aggregation in Natural Language Generation

1.1 The Problem PRAGMATICS AND NATURAL LANGUAGE GENERATION This work was done while the author was at the Yale University Computer Science Department, 2158 Yale Station, New Haven, CT 06520-2158, U.S.A. The work was supported in part by the Advanced ResearchProjectsAgencymonitored by the O ce of Naval Research under contract N00014-82-K-0149, and was also supported by AFOSR contract F4962087-C-...