csvfile = codecs.open('TEST5.csv','wb')
csvfile.write(u'\ufeff'.encode('utf8'))
writer = csv.writer(csvfile)
ph = Phonologist(from_file='asdasds')
ph.words + list(Syllables)
ph.phrases = list(Phrases)
ph.prhases[0] = Phrases
ph.prhases[0].words = list(Words)
ph.syllables + list(Syllables)
W = Words.loadfile("manolowords.txt")
S = Syllables(W)
writer.writerow(["Goyo"])
writer.writerow(["Basic Count"])
writer.writerow(['', "Words","Syllables","+Stress(Syllables)","-Stress(Syllables"])
for vow in span_vowels:
words = sum(W.token_by_symbol(vow).values())
syllables = sum(S.token_by_symbol(vow).values())
stressedcount = sum(S.stressed_token_by_symbol(vow).values())
unstressedcount = sum(S.unstressed_token_by_symbol(vow).values())
writer.writerow([vow, words, syllables, stressedcount, unstressedcount])
SY = Symbols(S)
# -*- encoding: utf-8 -*-
import csv
import codecs
from phonologist import Words, Nsyllables
from collections import OrderedDict
span_vowells = ["a","e","i","o","u"]
csvfile = codecs.open('beta.csv','wb')
csvfile.write(u'\ufeff'.encode('utf8'))
writer = csv.writer(csvfile)
W = Words("VisualTest.txt")
S = Nsyllables(W)
writer.writerow(["Elika"])
writer.writerow(["Basic Count"])
writer.writerow([" ", "Words","Syllables","+Stress","-Stress"])
for vow in span_vowells:
words = sum(W.return_tokens_words(vow).values())
syllables = sum(S.return_tokens_sylls(vow).values())
stressedcount = sum(S.stressed_target_sylls(vow).values())
unstressedcount = sum(S.unstressed_target_sylls(vow).values())
writer.writerow([vow, words, syllables, stressedcount, unstressedcount])
writer.writerow([" "])
writer.writerow([" "])
writer.writerow(["Environment Count"])