Category: poems

  • Wavenet for Poem Generation: preliminary results

    For the past week, I’ve been running a port of the Wavenet algorithm to generate poems. A reasonable training result emerges in about 24 hours, — a trained model that can generate immense amounts of text relatively quickly. On a laptop. (Code: github). By reasonable I mean the poems do not have any real sense, no sentient self, no…

  • 2-layer 256-cell LSTM neural net trained on a source text of moderate size

    Yesterday, sitting in Hong Kong, I launched a cluster of GPUs in North Carolina and ran a neural net for 9 hours to generate proto-language. Using modified code from the Keras example on LSTM text generation (and aided by a tutorial on aws-keras-theano-tensorflow integration), the cluster produced 76,976 words. Many of these words are new…

  • LSTM CHARRNN: blossoming acronyms

    Machine learning hacks. Building poetic nonsense with neural nets.   mules and the technology, the created and the tractions and the tractional artically of the traction of the tractical processe of the prectional and and and structured the entional the eractions of the the tractions and the tractions of the termore the the creative of…

  • ELO Performance (Brief Reproduction)

    Read a screen where code is rapidly producing poems. Find a path through the words: construct a poem from machinic intuition. The following recreates a performance made at the Electronic Literature Organization conference in Bergen, Norway on Aug. 4th 2015. Details: http://bdp.glia.ca/smaller-words-shrink-gapped Code: https://github.com/jhave/Big-Data-Poetry Technical process: the following poems were produced using a 10,000+ corpus…

  • Spreeder: the feature film (EPC 20th Anniversary Celebration)

    Loss Pequeño Glazier is celebrating the 20th anniversary of the Electronic Poetry Centre along with Charles Bernstein, cris cheek, Tony Conrad, Steve McCaffery, Myung Mi Kim, Tammy McGovern, Joan Retallack, Laura Shackelford, Danny Snelson, Dennis Tedlock, Cecilia Vicuña, Elizabeth Willis, & Wooden Cities with Ethan Hayden. Along with exhibitions by: “Abra” (Amaranth Borsuk, Kate Durbin…

  • SPREED : Speed Screen Reading : One Hour Real-Time Poetry Generation ScreenGrab

    Using Python (Anaconda), NLTK, WordNet, Alchemy, pattern.en, and pyenchant to analyze and perform word replacement on a corpus of 10,119 poems scraped from the PoetryFoundation and generate 7,769 poems in approx. 2 hours and 30 minutes. This is a real-time hour-long screen-grab output of the trace window in SublimeText as the poetry-gen program runs. 8:40-9am: 1097 Poems…

  • Markov Bern

    Markov chains are one of the traditional tricks in the NLP playbook. They are the apple pie-chart of text-generation. Basic process: given a source text, find words that are neighbours, if you know the neighbours of a word, you can form a chain if you wish. [(“you”),(“know”,”can”,”wish”)] and reconstruct a text which contains pairs (bigrams) from…

  • SYN-SCI-RAP

    I think I have begun to develop a mild form of insanity that often strikes those who fiddle around with computationally-generated text. After reading thousands of lines of dense incomprehensible gibberish it clarifies and makes sense, often more sense than any mere linear thought. The brain acclimatises to syntactic pressure. Recipe for mildly insane word-salad:…

  • Smaller Words (shrink-gapped at 64ppm)

    Words disconnected from their primary communicative intent operate as lesions/lessons within the psyche. Today, I generated another 10120 poems using a very mild modification of the alchemy-synset algorithm with the average word-length constrained even shorter. Speed decreased to 64 ppm poems-per-minute. This reduction in word-length seems (to me) to make some of the absurd illogical elliptical generated…

  • Small words (a homage)

    I can’t stop. It’s addictive. The ceaseless generative churn. It’s like planting seeds that germinate and blossom as you watch, then goto seed, ripen fall germinate ripen fall germinate, fields filling space to the horizon, blocking out both sun and moon, and again…. I was thinking that after reading the rich thick dense multi-syllable outputs of…