Lynne J. Cahill

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We present the rags (Reference Architecture for Generation Systems) framework: a specification of an abstract Natural Language Generation (NLG) system architecture to support sharing, re-use, comparison and evaluation of NLG technologies. We argue that the evidence from a survey of actual NLG systems calls for a different emphasis in a reference proposal(More)
This paper presents a language for the description of morphological alternations which is based on syllable structure. The justification for such an approach is discussed with reference to examples fi'om a variety of languages and the approach is compared to Koskenniemi's two-level account of morphonoIogy. K e y w o r d s : morphology, phonology, syllables.(More)
This paper addresses the question of whether Reiter's `Consensus NL Generation Architecture' Rei94] really exists, and if so whether it is a suitable candidate for a `reference architecture' for NLG systems. Our answer to the rst question is a tentative yes, but we are less comfortable to accept the second. In pursuit of a better understanding, we develop(More)
In this paper we present a means of defining morphonological phenomena in an inheritance based lexicon. We make use of the theory behind the formal language MOLUSC, in which morphological alternations were defined as mappings between sequences of tree-structured syllables. We discuss how the alternations can be defined in the inheritance-based lexical(More)
The RAGS project aims to develop a reference architecture for natural language generation, to facilitate modular development of NLG systams as well as evaluation of components, systems and algorithms. This paper gives an overview of the proposed framework, describing an abstract data model with five levels of representation: Conceptual, Semantic,(More)
The great increase in work on the lexicon by computational and theoretical linguists throughout the s has concerned itself almost exclusively with monolingual lexicons Meanwhile applied work on multilingual lexicons mostly for machine translation MT has employed monolingual lexicons linked only at the level of semantics In this paper we argue that the(More)
We present the rags (Reference Architecture for Generation Systems) framework, a specification of an abstract Natural Language Generation (NLG) system architecture to support sharing, re-use, comparison and evaluation of NLG technologies. We argue that the evidence from a survey of actual NLG systems calls for a different emphasis in a reference proposal(More)
The RAGS project aims to define a reference architecture for Natural Language Generation (NLG) systems. Currently the major part of this architecture consists of a set of datatype definitions for specifying the input and output formats for modules within NLG systems. In this paper we describe our efforts to reinterpret an existing NLG system in terms of(More)