Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Plan-based integration of natural language and graphics generation
Artificial Intelligence - Special volume on natural language processing
Speaking of actions: choosing rhetorical status and grammatical form in instructional text generation
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
A computational theory of goal-directed style in syntax
Computational Linguistics
Phrasing a text in terms the user can understand
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Towards personality-based user adaptation: psychologically informed stylistic language generation
User Modeling and User-Adapted Interaction
Controlling user perceptions of linguistic style: Trainable generation of personality traits
Computational Linguistics
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Instructional texts have been the object of many studies recently, motivated by the increased need to produce manuals (especially multilingual manuals) coupled with the cost of translators and technical writers. Because these studies concentrate on aspects other than the linguistic realisation of instructions -- for example, the integration of text and graphics - they all generate a sequence of steps required to achieve a task, using imperatives. Our research so far shows, however, that manuals can in fact have different styles, i. e., not all instructions are stated using a sequence of imperatives, and that, furthermore, different parts of manuals often use different styles. In this paper, we present our preliminary results from an analysis of over 30 user guides/manuals for consumer appliances and discuss some of the implications.