Stylistics and computing: Machine translation as a tool for a new approach to stylistics
Computers and Translation
Wide-range restructuring of intermediate representations in machine translation
Computational Linguistics
Getting the message across in RST-based text generation
Current research in natural language generation
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
A basis for a formalization of linguistic style
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Communications of the ACM
Enhancing Text Retrieval by Using Advanced Stylistic Techniques
Journal of Intelligent and Robotic Systems
A Computational Mechanism for Initiative in Answer Generation
User Modeling and User-Adapted Interaction
Near-synonymy and lexical choice
Computational Linguistics
Lexical choice criteria in language generation
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Strategies for sequencing as a planning task
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Stylistic variation in multilingual instructions
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Generating indirect answers to Yes-No questions
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Towards personality-based user adaptation: psychologically informed stylistic language generation
User Modeling and User-Adapted Interaction
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The problem of style is highly relevant to computational linguistics, but current systems deal only superficially, if at all, with subtle but significant nuances of language. Expressive effects, together with their associated meaning, contained in the style of a text are lost to analysis and absent from generation.We have developed an approach to the computational treatment of style that is intended to eventually incorporate three selected components---lexical, syntactic, and semantic. In this paper, we concentrate on certain aspects of syntactic style. We have designed and implemented a computational theory of goal-directed stylistics that can be used in various applications, including machine translation, second-language instruction, and natural language generation.We have constructed a vocabulary of style that contains both primitive and abstract elements of style. The primitive elements describe the stylistic effects of individual sentence components. These elements are combined into patterns that are described by a stylistic meta-language, the abstract elements, that define the concordant and discordant stylistic effects common to a group of sentences. Higher-level patterns are built from the abstract elements and associated with specific stylistic goals, such as clarity or concreteness. Thus, we have defined rules for a syntactic stylistic grammar at three interrelated levels of description: primitive elements, abstract elements, and stylistic goals. Grammars for both English and French have been constructed, using the same vocabulary and the same development methodology. Parsers that implement these grammars have also been built.The stylistic grammars codify aspects of language that were previously defined only descriptively. The theory is being applied to various problems in which the form of an utterance conveys an essential part of meaning and so must be precisely represented and understood.