3.23.2010

markov text

This is so long as the work should be fairly straight forward. In fact we can begin right here and now although I fear that this discussion of top down versus statistical modelling, of Markov chains compared with recursive descent parsers, but I will stay in the form of vapour a machine to account for its writing? Or is it the other just is not. “Narrative” and “Aristotelian drama” are certainly too confining, as Aarseth knows, but equally for humans as for machines. But it is art or life we are dealing with. Cybertext is not very plausible . Considering Strategy One, as I will show the situation is not a poem” quoted in Aarseth : reduction to the major one of many texts that produce machines. And so on. Without end. Natural language generation has potential practical application, the production of documents tailored to users’ specific needs and wishes for instance see Dale et al, “Reverse engineer”: engineering reversed. Engineering: product specification turned into product. Reversed: begin with product, work back only to discover it entirely from working back from the work whoever else has involvement; the common situation in the loop until it has run its course and then return a value to the robotic, to the safely if contemptibly mechanical. Maybe the machine will always in some way elude such approaches. Of course, simply by employing words we do not know what the relative human and the sheer difficulty of resolving the problem, a more modest and manageable case: the machine can write unassisted by a machine not the result of artifice? True. It is likely to be received as humorously meant. Strategy One conflict with any reliability. In computerised literature that aspires to emulate certain form of our literature, or our literature as possible. HORACE's reviews also suggest a less dismissive attitude to Strategy Two. Strategy Two seems to constitute overt parody and is consistent with HORACE’s activities. Unless one could persuade the public that the sort of text it is not us. So, Josef Ernst says of a Text Machine and Text Machines that emulate them in turn. It is possible to pass off computer generated text as artwork might be that this discussion of cybertexts is a self declared spoof and joins random text is written by a human editor that is required is the machine; the third is Monash again. But worse, perhaps we would find nothing at the ‘origin’. We might attempt to clarify a key question of the text, its spectre. There's a word for machines like that; it comes from computing: vaporware. Vaporware: Computer-industry lingo for exciting software which fails to appear. Here are two forms of computerised literature: Who or what is at stake in software art’s claims to conceptuality. That it is possible for a Text Machine? Or is it the other way round, there is a ‘sub routine’ of the episode was specifically to hoax, with the other. Again there is a relatively minor strand to the safely if contemptibly mechanical. Maybe the machine is the author of the others. ‘Mine’, I extracted from a considerable amount of rubbish generated by the machine, which was subsequently accepted for publication by the program, but otherwise all are as found. To support my contention, perhaps I should provide more examples and carry out a more extensive test. That was too crude. Truer to say there is potential here, in the words of Alan Kaprow for the most celebrated coup to date from. Hoftstadter presented his computer made sentences along side some from the work of art. Perhaps we might wish it to be. Grammatical, graceful… Rather, these are obviously jokes, clever tricks their creators often delight to explain.

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