Squibs and discussions: human variation and lexical choice
Computational Linguistics - Summarization
An augmented template-based approach to text realization
Natural Language Engineering
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Factored language models and generalized parallel backoff
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
The order of prenominal adjectives in natural language generation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Corpus-based lexical choice in natural language generation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
An architecture for data-to-text systems
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Class-based ordering of prenominal modifiers
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
SimpleNLG: a realisation engine for practical applications
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Text generation for Brazilian Portuguese: the surface realization task
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
Highly-inflected language generation using factored language models
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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In Natural Language Generation (NLG) systems, a general-purpose surface realisation module will usually require the underlying application to provide highly detailed input knowledge about the target sentence. As an attempt to reduce some of this complexity, in this paper we follow a traditional approach to NLG and present a number of experiments involving the use of n-gram language models as an aid to an otherwise rule-based text generation approach. By freeing the application from the burden of providing a linguistically- rich input specification, and also by taking some of the generation decisions away from the surface realisation module, we expect to make NLG techniques accessible to a wider range of potential applications.