poetry
The nora project
Tags: analysis | classification | poetry | visualization
I came to the nora project via a mention of it on the Text Analytics mailing list. The goal of the project is to support Humanities scholars in the interpretation of literary works. I had a look at the demo video which shows the use of the noraVis prototype data mining and visualization software.
The demo video can be viewed here .
Why ALG is hard: interdisciplinarity
Tags: computer poetry | poetry | programming | researchOver at Jim Carpenter's blog, he has a series building on why aesthetic language generation (ALG) is difficult. There are plenty of discussions on the nature of working with aesthetic text generation systems from a writer/reader perspective, but very little on the challenges and questions raised in the actual construction of these systems (outside of the purely technical discussions within fields like Computational Linguistics). Jim has constructed a large scale electronic text composition system entitled "Erica T. Carter" and knows first hand the issues involved. Anyone interested in this area should keep an eye on his posts.
Conflict Diamonds performance @ the VAG
Tags: computer poetry | performance | poetry
The performance at the Vancouver Art Gallery Friday on Oct 28, 2005 was great. I was a bit nervous from the rehersal the night before. I had incorporated the rhyming code i’ve been working on into the template generation system and we made some last minute tweeks at the rehersal which were causing some occasional runtime errors. Running of the software over again would usually produce the desired result. The system generated two texts for the performance, one a more abstract piece, the second a set of rhyming couplets. During testing and rehersal, the abstract piece always seemed much stronger than the rhyming couplets… but at the performance, the abstract piece came out kind of clunky, a bit too long, but the rhyming couplets were just right, humorous and strangley abstract and contextually relevant at the same time…. Unfortunately, after the performance, the texts were lost in the digital ether.
2005/02 - February Songroom
Submitted by dayre on Fri, 2006-06-16 12:30. Tags: computer poetry | performance | poetryThis GTR performance took place in February 2005 at the playwright Tom Cone's house. It was a for for the Songroom event which featured interdisciplanary collaborative performances between various artists and technologists.
A recording of the rehearsal session can be found here.
This track features Andrew Klobucar working a version of GTR's lyrical text generation software the output of which was immediately performed by the singer Vivian Houle, whose voice was simultaneously transformed by Stefan Smulovitz 's real time granular synthesis software KENAXIS.
2005/02- Demo Rehearsal Songroom
Submitted by dayre on Fri, 2006-06-16 12:05. Tags: computer poetry | performance | poetryThis GTR performance took place in February 2005 at the playwright Tom Cone's house. It was a rehearsal for the Songroom event which featured interdisciplanary collaborative performances between various artists and technologists.
This track features Andrew Klobucar working a version of GTR's lyrical text generation software the output of which was immediately performed by the singer Vivian Houle, whose voice was simultaneously transformed by Stefan Smulovitz 's real time granular synthesis software KENAXIS .
Experiments with rhyme
Tags: phonology | poetry | rhymeLast year i worked on a templating language and interpretive engine to generate text. The system functioned very similar to the way the Andrew Bulhak’s Dada text generation engine worked (similar grammar etc..). The Dada engine was responsible for the well known Postmodern Essay Generator. I’ve expanded on the functionality quite a bit to tie in with some code i’ve written the last little whlie to find rhymes for certain words. The rhyming engine has knowledge of 11 types of rhyme.
Google Trends
Tags: poetry | visualization
Wow ! is making a comback in 2006.... Google recently launched their "Google Trends " site which enables the user to enter a few search terms and view their corresponding frequency distributions over time. Most frequency related data for words is usually restricted to usage counts within a particular text, or throughout a set of texts without any temporal attributes factored in.

