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Systemic Functional Grammar & Natural Language Generation : Linguistic Description and Computational Representation.

This volume deals with the computational application of systemic functional grammar (SFG) for natural language generation. In particular, it describes the implementation of a fragment of the grammar of German in the computational framework of KOMET-PENMAN for multilingual generation. The text also p...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Teich, Elke
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Continuum International Pub. Group, 1999.
Colección:Communication in artificial intelligence.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Systemic Functional Grammar & Natural Language Generation :  |b Linguistic Description and Computational Representation. 
260 |a London :  |b Continuum International Pub. Group,  |c 1999. 
300 |a 1 online resource (269 pages) 
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505 0 |a Contents; List of Figures; List of Tables; Preface; Acknowledgements; Notational Conventions; 1 Introduction; 2 Theory and Linguistic Representation: Systemic Functional Linguistics; 3 Computational Application: Grammar Models in Natural Language Generation; 4 Description: A Systemic Functional Grammar of German for Natural Language Generation; 5 Computational Representation: A Proposal for Dependency in Systemic Functional Grammar; 6 Summary and Conclusions; Bibliography; Index. 
520 |a This volume deals with the computational application of systemic functional grammar (SFG) for natural language generation. In particular, it describes the implementation of a fragment of the grammar of German in the computational framework of KOMET-PENMAN for multilingual generation. The text also presents a specification of explicit well-formedness constraints on syntagmatic structure which are defined in the form of typed feature structures. It thus achieves a model of systemic functional grammar that unites both the strengths of systemics, such as stratification, functional diversification. 
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