g CINA CONTENC MI CINE SI CENTENI SEE CONDENN DE CRE SU DE QUAENT ME CONNE CUNTUR DEACLETICE (FIUD SEE DED SEE SER SER SER SEENNN SER SER SEENN SER SER SEENDENNENCEN (_DER SER K of my own striking the more than the spirit of the morning of the Professor …

Last year I went right over the top for National Novel Generating Month and wrote a dynastic succession simulator and blogged about it at length. Where did I get the time for that, I find myself asking.

This year I made something simpler. Formations is a parody or homage to …

Glossatory is a recurrent neural net trained on all of the definitions in the lexical database WordNet. I recently retrained it on a GPU, increasing the number of hidden units to 512 and the layers from 2 to 3. The results are now a lot more grammatical, and there's a …

I was tinkering around trying to get Justin Johnson's neural-style implementation working on the HPC - this is an algorithm which uses a deep learning image recognition net to extract low-level style features from one image and use them to render the large-scale contours of another. This technique has been commercialised …

I found out about NaPoGenMo halfway through April, and decided to do something throwaway and quick for it, unlike my last couple of NaNoGenMo efforts, which have taken much more effort than the end results justified. (I found out about it on Mastodon but that's a story for another blog …

The third of three posts about the details of my NaNoGenMo 2016 project, Annales

1. Vocabularies | 2. TextGen | 3. Events

The event loop is the least interesting part of Annales, but it took the most effort and time. The basic idea is that there's a structured variable which describes the …

The second of three posts about the details of my NaNoGenMo 2016 project, Annales

1. Vocabularies | 2. TextGen | 3. Events

I'm proud that Annales is the only representative of Haskell in 2016's entries, but there's a reason that it's the only one: knocking together quick text generators is really a …

The first of three posts about the details of my NaNoGenMo 2016 project, Annales

1. Vocabularies | 2. TextGen | 3. Events

Annales was originally going to be a long-form version of @GLOSSATORY, a Twitter bot I made earlier this year. Glossatory is driven by a recurrent neural net trained on around …

This was the first time I submitted a NaNoGenMo entry which aimed at being readable, in contrast to my previous efforts, Everywhere Dense and Neuralgae, which were really abstract. Annales is a generated parody of a very ancient genre, the chronicle, which tells history as a sequence of reigns, deaths …

My entry for National Novel Generating Month 2016 is a procedurally-generated chronology of rulers, courtiers and tribes, using a nonsense vocabulary generated with the neural net which drives my twitter bot, @GLOSSATORY.

The full text is available on GitHub:

• ANNALES
• ANNALES.pdf

The source code is here

I'll be blogging …