Implementation architectures for natural language generation

Mellish, C. and Evans, Roger (2004) Implementation architectures for natural language generation Natural Language Engineering, 10 (3-4). pp. 261-282. ISSN 1469-8110

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Generic software architectures aim to support re-use of components, focusing of research and development effort, and evaluation and comparison of approaches. In the field of natural language processing, generic frameworks for understanding have been successfully deployed to meet all of these aims, but nothing comparable yet exists for generation. The nature of the task itself, and the current methodologies available to research it, seem to make it more difficult to reach the necessary level of consensus to support generic proposals. Recent work has made progress towards establishing a generic framework for generation at the functional level, but left open the issue of actual implementation. In this paper, we discuss the requirements for such an implementation layer for generation systems, drawing on two initial attempts to implement it. We argue that it is possible and useful to distinguish “functional architecture” from “implementation architecture” for generation systems.

Item Type: Journal article
Additional Information: © 1998 Cambridge University Press
Subjects: Q000 Languages and Literature - Linguistics and related subjects > Q100 Linguistics
DOI (a stable link to the resource): 10.1017/S1351324904003511
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Natural Language Technology
Depositing User: Helen Webb
Date Deposited: 13 Nov 2007
Last Modified: 18 Mar 2015 09:05

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