예제 #1
0
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)
예제 #2
0
# -*- 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"])