Automatic Generation of Poetry using a CBR Approach
نویسنده
چکیده
A case based reasoning application that generates poetry versions of texts provided by the user is presented. Cases consist of a sentence of prose (used as retrieval key) associated with a corresponding poem fragment (used as starting point for the solution). Adaptation takes place by combining phonetic, metrical and lexical information about the words in the different sources the prose message, the retrieved case, and additional vocabulary provided by the user. An extension of this system is proposed. Such extension would include semantic information in an integrated manner, allowing close interaction between the basic CBR processes retrieval and adaptation and the natural language semantics of the words involved.
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