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75 lines
2.1 KiB
Plaintext
75 lines
2.1 KiB
Plaintext
# OuNuPo Make
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Software experiments for the OuNuPo bookscanner, part of Special Issue 5
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https://issue.xpub.nl/05/
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https://xpub.nl/
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## License
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## Authors
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Natasha Berting, Angeliki Diakrousi, Joca van der Horst, Alexander Roidl, Alice Strete and Zalán Szakács.
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## Clone Repository
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`git clone https://git.xpub.nl/repos/OuNuPo-make.git`
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## General depencies
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* Python3
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* GNU make
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* Python3 NLTK `pip3 install nltk`
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* NLTK English Corpus:
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* run NLTK downloader `python -m nltk.downloader`
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* select menu "Corpora"
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* select "stopwords"
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* "Dowload"
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# Make commands
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## N+7 (example) Author
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Description: Replaces every word with the 7th next word in a dictionary.
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run: `make N+7`
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Specific Dependencies:
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* a
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* b
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* c
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## Sitting inside a pocket(sphinx): Angeliki
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Description: Speech recognition feedback loops using the first sentence of a scanned text as input
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run: `make ttssr-human-only`
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Specific Dependencies:
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* PocketSphinx package `sudo aptitude install pocketsphinx pocketsphinx-en-us`
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* PocketSphinx: `sudo pip3 install PocketSphinx`
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* Python Libaries:`sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev`
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* Speech Recognition: `sudo pip3 install SpeechRecognition`
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* TermColor: `sudo pip3 install termcolor`
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* PyAudio: `pip3 install pyaudio`
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## Reading the Structure: Joca
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Description: Uses OCR'ed text as an input, labels each word for Part-of-Speech, stopwords and sentiment. Then it generates a reading interface
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where words with a specific label are hidden. Output can be saved as poster, or exported as json featuring the full data set.
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run: `make reading_structure`
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Specific Dependencies:
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* nltk (http://www.nltk.org/install.html)
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* nltk.tokenize.punkt, ne_chunk, pos_tag, word_tokenize, sentiment.vader
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*
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nltk.download('vader_lexicon')
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(https://www.nltk.org/data.html)
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* weasyprint (http://weasyprint.readthedocs.io/en/latest/install.html)
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* jinja2 (http://jinja.pocoo.org/docs/2.10/intro/#installation)
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* font: PT Sans (os font https://www.fontsquirrel.com/fonts/pt-serif)
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* font: Ubuntu Mono (os font https://www.fontsquirrel.com/fonts/ubuntu-mono)
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