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this paper is similar to the unification procedure in TELEGRAM (Appelt 1983), which employs a unification gram- mar

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The acceptance of natural language generation systems strongly depends on their capability to facilitate the exchange of information with human users. Current generation systems consider the influence of situational factors on the content and the form of the resulting utterances. However, the need to time their processing flexibly is usually neglected although temporal factors play a central part when directly addressing a human communication partner. A short response time of a system is crucial for its effective use. Furthermore, some applications --- e.g., the simultaneous description of ongoing events --- even necessitate the interleaving of input consumption and output production, i.e. the use of an incremental processing mode. We claim that incremental processing is a central design principle for developing flexible and efficient generators for speech output. We discuss the advantages of parallel processing for incremental generation and several aspects of control of the generator...

Psycholinguistic research has shown that the influence of abstract syntactic knowledge on performance is shaped by particular sentences that have been experienced. To explore this idea, the authors applied a connectionist model of sentence production to the development and use of abstract syntax. The model makes use of (a) error-based learning to acquire and adapt sequencing mechanisms and (b) meaning–form mappings to derive syntactic representations. The model is able to account for most of what is known about structural priming in adult speakers, as well as key findings in preferential looking and elicited production studies of language acquisition. The model suggests how abstract knowledge and concrete experience are balanced in the development and use of syntax.

Current research in natural language generation is situated in a computational linguistics tradition that was founded several decades ago. We critically analyse some of the architectural assumptions underlying existing systems and point out some problems in the domains of text planning and lexicalization. Guided by the identification of major generation challenges viewed from the angles of knowledge-based systems and cognitive psychology, we sketch some new directions for future research.

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this paper is that neither has been implemented." ([Vaughan and McDonald, 1986], page 95). Although Meteer [1990] gives a detail description of the relationship between text structure and revision it is unclear how the proposed model could contribute to the choice problem of paraphrases (see section 5.2). How- ever, from the approach described above and from the system described in [Meteer, 1990] we can draw the following conclusions. Only the generatoFs input is marked. If the generator encounters alternative realizations the revision component is asked to make the decision. However, to be able to do this it needs detailed knowledge about the grammar. Therefore grammatical knowledge has to be duplicated. The linguistic realization component used in [Meteer, 1990] is MUMBLE-86 [McDonald, 1986]. The text structural representation level must completely specify the infor- mation to be expressed by the utterance. The mapping has to ensure that all the necessary linguistic information is present. Mumblers procedural grammar is used only for generation purposes. Therefore it is without reach for the revision model to take into account relevant sources of ambiguities

Many existing natural language generation systems can be characterized according to their modularization as either pipelined or interleaved. In these separated systems, the generator is divided into several modules (e.g., planning and realization), with control and information passing between the modules during the generation process. This paper proposes a third type of generator, which we call integrated, that unifies the modules into a single mechanism. The mechanism uses a small set of orthogonal basic operations to produce planned and grammatical language output. Integrated systems are conceptually attractive and may support generation of pragmatic effects more effectively than other systems. After discussing the advantages of the integrated approach, we summarize GLINDA, an integrated generator currently under development at Carnegie Mellon. GLINDA is the generator used for narration and intercharacter communication in the Oz Interactive Fiction and Virtual Reality Project.

INTRODUCTION Psycholinguistic research into language production---the process of translating thoughts into speech---has long been associated with connectionist models. Spreading activation models of lexical access in production represent some of the earliest applications of connectionist ideas to psycholinguistic data (e.g., Dell & Reich, 1977; Harley, 1984; MacKay, 1982; Stemberger, 1985). These models combined representations from linguistics with interactive activation principles and sought to explain speech errors, particularly errors resulting from multiple causes or processing levels. For example, "Lizst's second Hungarian restaurant " instead of "rhapsody " involves mistakenly using a word that is associatively, syntactically, and phonologically related to the intended word. Activation that spreads interactively among processing levels seems to be a natural way to account for these kinds of slips. Direct all correspondence to: Gar