Modeling Literary Style for Semi-automatic Generation of Poetry
نویسنده
چکیده
The generation of formal poetry involves both complex creativity usually exercised by a human poet and strict algorithmic restrictions regarding the metrical structure of the poem determined by literary tradition. Starting from a generating system that enforces automatically the metrical restrictions, this paper presents a model for the literary style of a user based on four key features for user preferences word selection, language structures, poem planning, and restrictions on realisation governing the generation of poetry from input data provided by the user a prose paraphrase of the intended message, a task specific vocabulary, and a corpus of construction patterns. The system exploits the CBR paradigm as a means to evolve a case base (a vocabulary / construction pattern grouping) that effectively models the style of a specific user as a result of multiple iterations through the CBR cycle.
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