In this paper we describe the difficulties of poetry generation, particularly in contrast to traditional informative natural language generation. We then point out deficiencies of previous attempts at poetry generation, and propose a stochastic hillclimbing search model which addresses these deficiencies. We present both conceptual and implemented details of the most important aspects of such a...

Many years ago I received an urgent Friday afternoon consult from the surgery service. ‘‘Incipient DTs,’’ the resident told me. ‘‘We’ve got this guy, status-post pancreatitis, post-op cholecystectomy, he’s going down the tube.’’ It turned out that the patient was an irascible middle-aged man named Chuck Benderton who a day or so after surgery had gotten agitated and started to swear at his doct...

We present SPARSAR, a system for the automatic analysis of poetry(and text) style which makes use of NLP tools like tokenizers, sentence splitters, NER (Name Entity Recognition) tools, and taggers. Our system in addition to the tools listed above which aim at obtaining the same results of quantitative linguistics, adds a number of additional tools for syntactic and semantic structural analysis ...

The ultimate goal of the poetry assistant currently under development in our lab is an application to be used either as a poetry game or as a teaching tool for both poetry and grammar, including the complex relationships between sound and meaning. Until now we focused on the automatic classification of poems and the suggestion of the ending word for a verse. The classification module is based o...