User:Angeliki/2nd Trimester

OCR

Tesseract training:

1. Install Tesseract
2. Recipe for training

Reading- Writing

Synopsis

Reader

Mini reader

Python scripts

"Python whisperer"

import nltk
import collections
import random
import sys

from sys import stdin, stderr, stdout

o = open("Synopsis_24012018.txt", 'r')
original = o.read()
tokens = nltk.word_tokenize(original)
for noun in tokens:
	noun = noun.lower()
# print (tokens)
v = open("nouns/91K nouns.txt")
nouns = v.read()
tokens_nouns = nltk.word_tokenize(nouns)
# print (tokens_nouns)
newnouns = []
for word in tokens:
	if word in tokens_nouns:
		n=tokens_nouns.index(word)
# 		# print (n)
		newnouns.append(tokens_nouns[n])
# 		# print (newnouns)

filename = 'Audiosfera-2015-Westerkamp.txt'
vocabulary = []

vocabulary_size = 1000
def read_input_text(filename):
    txtfile = open(filename, 'r') 
    string = txtfile.read()
    words = nltk.word_tokenize(string)
    # print (words)
    for word in words:
    	word=word.lower()
    	vocabulary.append(word)
    # print('Data size:', len(vocabulary))                

read_input_text(filename)
# print(vocabulary)

newsynopsis = []
for word in vocabulary:
	if word in tokens_nouns:
		newsynopsis.append(random.choice(newnouns))
	else:
		newsynopsis.append(word)
print (" ".join(newsynopsis))

Let’s not speak to anyone. Let us move on and listen. Listen for voices while walking. Listen for pauses.Listen. What sounds in your home town indicate a specific time of day? Here are such sounds from Vancouver. Listen. Mix—Sound signals, time of day. Listen for hums and motors for birdcalls and for pauses between the birdcalls. Listen for echoes. Echo under parabolic bridge. Bang on other objects that make interesting sounds—such as Henry Moore’s sculpture called Knife Edge in Queen Elizabeth Park in Vancouver. Henry Moore’s sculpture Knife Edge. Hear your breath and its rhythms your footsteps and their rhythm. Stop for a moment and listen to your thoughts. Let them pass like the sound of a car. Follow your thoughts until you cannot hear them any longer. Hear the pauses between sirens and horns and airplanes. The sounds of different seasons. Soundwalking—mix of excerpts, beaches and parks. Sounds of clothes and of wind. Listen into the distance. Stop. listening for a moment.3 Radio that Listens. Soundwalking—mix of excerpts, shopping malls. Listen as you return home. Did you hear the sounds of this walk of this time in your life? Radio That Listens In his article Radical Radio, Canadian composer R. Murray Schafer suggested that radio is not new. He writes: It existed long before it was invented. It existed whenever there were invisible voi­ces: in the wind, in thunder, in the dream. Listening back through history, we find that it was the original communication system by which gods spoke to humanity. It was the means by which voices, free from the phenomenal world, com­mu­ni­ca­ted their thoughts and desires to awestruckmortals. The divine voice, the Ursound, infinitely powerful precisely because of its invisibility, is encountered repeatedly in ancient religions and in folklore... In those days there was nothing but religious broadcasting

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From a text of Hildegard Westerkamp

The output text with borrowed nouns from synopsis of several texts

"No_vocals poem"

import sys
from sys import stdin

l=list('aeiou')
# original = input('give me the poem ')
original = stdin.read()

if len(original) > 0:
    word= original.lower()
    s=list(word)
    new_word=[]
    for i in s:
    	# or if i not in l
        if not i in l: 
           new_word.append(i)
    print (''.join(new_word))
else:
    print ('empty')

Jack tells Jill Jill tells Jack Jack wants Jill Jill wants Jack a perfect contract Jill wants Jack to want Jill to want Jacks want ofher want for his want of her want of Jacks want that Jill wants Jack to want Jill to want Jacks want of her want for his want of her to want Jack to want	jck tlls jll jll tlls jck jck wnts jll jll wnts jck prfct cntrct jll wnts jck t wnt jll t wnt jcks wnt fhr wnt fr hs wnt f hr wnt f jcks wnt tht jll wnts jck t wnt jll t wnt jcks wnt f hr wnt fr hs wnt f hr t wnt jck t wnt
From "Knots", R.D.Laing

"Listening each other/ Sound poems"

import nltk
import collections
import random
import sys

from sys import stdin, stderr, stdout

def get_words(filename):
    txtfile = open(filename, 'r') 
    string = txtfile.read()
    words = nltk.word_tokenize(string)
    return words


def get_lines(filename):
    w = []
    for line in open(filename):
        if line.strip():
            w.append(line.strip())
    return w

source_words = get_words("Audiosfera-2015-Westerkamp.txt")
all_verbs = get_lines("verbs/31K verbs.txt")
print('all_verbs', 'not' in all_verbs)

source_verbs = []
for word in source_words:
    if word in all_verbs:
        source_verbs.append(word)
print ('source verbs', source_verbs)

target_words = get_words('jackjill.txt')

# print(target_words)

newsynopsis = []
# I can use a counter
for word in target_words:
    if word in all_verbs:
        # newsynopsis.append(random.choice(source_verbs))
        newsynopsis.append(source_verbs[0])
    else:
        newsynopsis.append(word)
print (" ".join(newsynopsis))

Jack tells Jill Jill tells Jack Jack wants Jill Jill wants Jack a perfect contract Jill wants Jack to want Jill to want Jacks want ofher want for his want of her want of Jacks want that Jill wants Jack to want Jill to want Jacks want of her want for his want of her to want Jack to want	Jack hear Jill Jill make Jack Jack indicate Jill Jill dream Jack a listen wind Jill not Jack to horns Jill to voices Jacks signals of her radio for his were of her excerpts of Jacks example that Jill motors Jack to sounds Jill to desires Jacks thoughts of her thoughts for his thoughts of her to voice Jack to divine
From "Knots", R.D.Laing	The output text with borrowed verbs from the text of Hildegard Westerkamp