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Category Archives: Learning Bit by Bit
Illumination: real-time generative blackout poetry
Illumination is an interactive art installation created by myself in collaboration with Yonatan Ben-Simhon. It uses light to discover and reveal poetry from within printed texts. What happens The basic set-up of Illumination is a table in a dark space, … Continue reading
Final Project Proposal – Light-up Poetry
For the final project I am collaborating with Yonatan Ben-Simhon. We are creating an interactive art installation inspired by Austin Kleon’s Newspaper Blackout Poems project. The basic set-up is this: Next to a table sits a stack of newspaper and magazine articles. The … Continue reading
Final Project progress update – Illuminated Manuscripts
For the final project I am collaborating with Yonatan. So far, Yoni has been focusing on the language-processing and text-generation aspect of the project, and I have been focusing on the physical installation and Optical Character Recognition elements. I have … Continue reading
Alpha, Epsilon, and the Dangling Node
So I stayed up quite late last night along with Alex Koz and Maria Rabinovich trying to full understand the details of the pageranking algorithm. Unfortunately, I found it too dense and could not fully grasp the inner-workings of the … Continue reading
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The Dreaded Jaron Lanier
We should not fear the rise of information technology in our lives. The anonymity of the web gives us unique affordance that are rather valuable. For instance, take into consideration the recent rise of Wikileaks on the world stage. Anonymity … Continue reading
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Parts of Speech Visualizer
So, for this week, I modified the POSVisualizer code to export a text and color-code it by the parts of speech tag for each word. Here are the results for the first few paragraphs of Alice in Wonderland: Since the … Continue reading
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Ngram Remix – Alice, Huck Finn, and the Kama Sutra
For the assignment I took the NgramGenerateText script and modified it to be able to take any number of source text files. My intention was to generate ngram text from multiple texts combined, and be able to mix and match … Continue reading
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Assignment 3 – Stop Tokenizer
This is the stop list I created for my stop tokenizer: ‘ “ ’ – — . a an and are be for from if in is of that the this was will with I tested text that I pulled … Continue reading
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HateBot
Here is my chatbot, his name is HateBot. He loves to hate. /* * This is HateBot he loves to hate. * * Author: Jack Kalish, Febuary 2011 */ import java.io.BufferedReader; import java.io.IOException; import java.io.InputStreamReader; import java.util.regex.Matcher; import java.util.regex.Pattern; public … Continue reading
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Searle vs Turing
I would have to say that I agree with Searle here. I can see how Turing, in 1950, could have believed that technology would advance enough in 50 year’s time to the point that computer should be able to accurately … Continue reading
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