def findLineStress(line):
'''find accentual stress of a given line, based on CMU dict. Still a bit unclever.
_parameters_
line: line of text
_returns_
parselist: list of potential stresses after parsing. 0 is unstressed, 1 is primary stress, 2 is secondary stress (middle)
syllableLengths: list of syllable lengths corresponding to the parses in parselist
wordCount: count of words in the line
'''
line = prepString(removeMarkupWords(line))
words = line.split()
wordCount = len(words)
parses = ['']
for word in words:
pros = pronouncing.phones_for_word(word)
if pros:
for phonelist in [pronouncing.phones_for_word(word)]:
stressOptions = copy.deepcopy(parses)
currLen = len(parses)
newparse = []
# I don't really need to loop through pronunciations, just distinct stress patterns, so a little inefficient here
for pronunciation in phonelist:
wordStress = pronouncing.stresses(pronunciation)
for option in range(currLen):
newparse.append('' + str(stressOptions[option]) +
str(wordStress))
parses = newparse
return list(set(parses)), [len(parse)
for parse in list(set(parses))], wordCount
def findLineStress(tokenized_line):
'''
find accentual stress of a given tokenized line, based on CMU dict.
Uses relative stress per word, so somewhat limited.
Parameters
----------
tokenized_line : list
list of tokens from line, usually preprocessed to remove non-words
Returns
-------
parselist: list of potential stresses after parsing.
0 is unstressed, 1 is primary stress, 2 is secondary stress (middle)
'''
parses = ['']
for word in tokenized_line:
pros = pronouncing.phones_for_word(word)
if pros:
for phonelist in [pronouncing.phones_for_word(word)]:
stressOptions = deepcopy(parses)
currLen = len(parses)
newparse = []
# I don't really need to loop through pronunciations
# just distinct stress patterns, so a little inefficient here
for pronunciation in phonelist:
wordStress = pronouncing.stresses(pronunciation)
for option in range(currLen):
newparse.append('' + str(stressOptions[option]) +
str(wordStress))
parses = newparse
return list(set(parses))
def getStressStruct(line):
stresses = ""
for word in line:
phones = pronouncing.phones_for_word(word)
if phones:
stress_list = [pronouncing.stresses(phone) for phone in phones]
if len(stress_list) > 1:
def xnor(a, b):
if '2' in a or '2' in b:
return '0' * len(b)
else:
if len(a) == len(b):
return str(bin(~(int(a, 2) ^ int(b, 2))))
elif len(a) > len(b):
return '0' * len(a)
else:
return '0' * len(b)
matches = reduce(xnor, stress_list)
if matches:
for index, stress in enumerate(stress_list[0]):
if matches[index] == 1:
stresses += stress
else:
stresses += "*"
else:
stresses += "*" * len(stress_list[0])
else:
stresses += stress_list[0]
else:
stresses += "X"
return stresses
def is_iambic(phrase):
"""
check that we satisfy iambic meter.
return 1 if so, otherwise 0.
definitely an imperfect check...
if we end up needing to check a word that's not in the CMU dictionary, just return 0.
"""
meter = ''
for word in phrase.split():
word = word.strip().strip(string.punctuation).lower()
try:
phones_list = pronouncing.phones_for_word(word)
stresses = pronouncing.stresses(phones_list[0])
if len(stresses) == 1:
if stresses == '1':
stresses = '2' # allow ambiguity for 1-syllable words with stress 1
meter += stresses # just default to the first pronunciation if > 1 given
except:
return 0 # word not found
meter = [int(x) for x in meter]
even_stresses_full = [meter[i] for i in range(0, len(meter), 2)]
odd_stresses_full = [meter[i] for i in range(1, len(meter), 2)]
even_stresses = set(even_stresses_full)
odd_stresses = set(odd_stresses_full)
if 0 in odd_stresses:
return 0
if 1 in even_stresses:
return 0
return 1
def rhyme_same_stress(word):
timeout_timer = 0
# print('in the stress loop')
while (True):
phones = pronouncing.phones_for_word(word)
phone = random.choice(phones)
word_stress = pronouncing.stresses(phone)
rhyme = rhyme_type_random(word)
phones = pronouncing.phones_for_word(rhyme)
for phone in phones:
rhyme_stress = pronouncing.stresses(phone)
if word_stress == rhyme_stress:
return rhyme
print(timeout_timer)
if timeout_timer == 10:
return rhyme
timeout_timer += 1
def is_final_syllable_stressed(word):
phones_list = pronouncing.phones_for_word(word)
stresses = pronouncing.stresses(phones_list[0])
if (stresses[-1] == '1'):
return True
return False
def is_iambic(self, new_sent):
sent_pat = ""
for word in new_sent.split():
pronunciations = pronouncing.phones_for_word(word)
pat = pronouncing.stresses(pronunciations[0])
sent_pat += pat
if sent_pat == self.iamb_pat:
return True
else:
return False
def get_stresses_oneword(word):
phones_list = pronouncing.phones_for_word(word)
if len(phones_list) > 0:
phones = phones_list[0]
stresses = pronouncing.stresses(phones)
if len(stresses) == 0 or len(stresses) == 1:
stresses = "3"
else:
num_syllables = dirtysyllables(word)
stresses = '3' * num_syllables
return stresses
def getWordStresses(word: str):
word = numbersToWords(word)
if " " in word:
return word.split()
try:
phones = pronouncing.phones_for_word(word)
stresses = pronouncing.stresses(phones[0])
except IndexError:
# Hacky way of discarding candidate title
return "1111111111"
return stresses
def stress(sentence):
"""
Returns stress pattern for a sentence
:param sentence: list(str)
:return: list(list(str))
"""
stresses = []
for word in sentence:
phones = pronouncing.phones_for_word(word)
homonyms = [pronouncing.stresses(p) for p in phones]
homonyms_int = [int(p) for p in homonyms]
if len(homonyms_int) == 0:
homonyms = ['0']
homonyms_int = [0]
word_stress = homonyms[homonyms_int.index(min(homonyms_int))]
stresses.append(word_stress)
if stresses[0][0] == str(0):
return None
words = sentence[:]
phrases = []
current_phrase = []
for word in sentence:
# if re.search("[a-zA-Z0-9]", word) is None:
# continue
current_phrase.append(word)
if len("".join(stresses[:len(current_phrase)])) >= MIN_LENGTH:
next_stresses = "".join(stresses[len(current_phrase):])
if len(next_stresses) > 1 and next_stresses[0] == str(1) and \
re.search("[a-zA-Z]", words[len(current_phrase)]):
phrases.append(current_phrase)
words = words[len(current_phrase):]
stresses = stresses[len(current_phrase):]
current_phrase = []
if len(current_phrase) > 0:
phrases.append(current_phrase)
return([" ".join(p) for p in phrases])
def stress_pattern():
phones_list = pronouncing.phones_for_word("snappiest")
meter = pronouncing.stresses(phones_list[0])
print meter # 102
# 1 : primary stress, 2: secondary stress , 0: unstressed
## search by stress pattern
stress_first = pronouncing.search_stresses('100100')
stress_either = pronouncing.search_stresses(
'^00[12]00[12]$') ## either 1 or 2 in the []
print stress_first
print stress_either
def count_syllables(words):
syllables = 0
for word in words.split():
word = word.strip().strip(string.punctuation)
try:
phones_list = pronouncing.phones_for_word(word)
stresses = pronouncing.stresses(phones_list[0])
syllables += min(MAX_SYLLABLES_PER_WORD, len(stresses))
except:
# if we don't know, just do a quick approximation here; it shouldn't come up too often
syllables += min(MAX_SYLLABLES_PER_WORD, round(len(word) / 3))
return syllables
def convert_to_word(token: str) -> Word:
pronunciations = p.phones_for_word(token)
stress_patterns = [
p.stresses(pronunciation).replace("2", "1")
for pronunciation in pronunciations
]
if stress_patterns:
# pick one arbitrarily
return Word(token, stress_patterns[0])
else:
number_syllables_guess = len(re.findall(r"[aeiou]+", token))
return Word(token, "?" * number_syllables_guess)
def generate_joo_joo_eyeball(syllable_count):
text = [0]
while(text[0] != syllable_count):
text = random.choice(joo_joo_eyeball)
text = text[1] # Discard count, we don't need it
result = []
for word in text.split():
pronunciations = pronouncing.phones_for_word(word)
pat = pronouncing.stresses(pronunciations[0])
replacement = random.choice(pronouncing.search_stresses("^"+pat+"$"))
result.append(replacement)
return ' '.join(result)
def calculate_scores(poem_lines):
### keep only two-lines poem
if len(poem_lines) != 2:
raise ValueError("can only score 2-line poems/couplets")
### calculate informations needed for scoring
num_words = 0
stress_strings = []
all_poem_words = []
last_words = []
for pl in poem_lines:
try:
pwords = pl.split()
except AttributeError:
pwords = pl
num_words += len(pwords)
last_words.append(pwords[-1])
all_poem_words.extend(pwords)
stress_string = ""
for pword in pwords:
try:
stress_string += pronouncing.stresses(
pronouncing.phones_for_word(pword)[0]
)
except:
pass
stress_strings.append(stress_string)
### rhyme score
rhyme_score_ = rhyme_score(
last_words[0], last_words[1], penalize_short_word=False
)
### stress score
stress_string_score = difflib.SequenceMatcher(
None, stress_strings[0], stress_strings[1]
).ratio()
### combined score
ret = (
CoupletScorer.rhyme_weight * rhyme_score_
+ CoupletScorer.stress_weight * stress_string_score
)
return [
ret,
rhyme_score_,
stress_string_score,
]
def unstressed(word, syll, cache={}):
if word == '*':
return True
try:
return cache[word, syll]
except KeyError:
pass
stress = pronouncing.stresses(prons[word.lower()])
if '0' not in stress:
stress = re.sub('2', '0', stress)
result = len(stress) == 1 or stress[syll] == '0'
cache[word, syll] = result
return result
def cut_into_iamb(self, new_sent):
count = 0
cut_sent = ""
sents = []
for word in new_sent.split():
pronunciations = pronouncing.phones_for_word(word)
pat = pronouncing.stresses(pronunciations[0])
cut_sent += word + " "
count += len(pat)
if count >= 10:
sents.append(cut_sent)
cut_sent = ""
count = 0
return sents
def getWordStresses(word: str):
word = numbersToWords(word)
if " " in word:
return word.split()
for override, stresses in PRONUNCIATION_OVERRIDES:
if word.lower() == override.lower():
return stresses
phones = pronouncing.phones_for_word(word)
if not phones:
# Hacky way of discarding candidate title
return "1111111111"
stresses = pronouncing.stresses(phones[0])
return stresses
def getWordStresses(word: str):
word = numbersToWords(word)
if " " in word:
return word.split()
for override, stresses in PRONUNCIATION_OVERRIDES:
if word == override:
return stresses
try:
phones = pronouncing.phones_for_word(word)
stresses = pronouncing.stresses(phones[0])
except IndexError:
# Hacky way of discarding candidate title
return "1111111111"
return stresses
def summon_seas():
# Find words with mattching stress patterns
caspian_phones = pr.phones_for_word("caspian")
caspian_stresses = pr.stresses(caspian_phones[0])
words_with_stress_pattern = pr.search_stresses(caspian_stresses)
# Find words with correct syllable count
three_syllable_words = []
for word in words_with_stress_pattern:
word_phones = pr.phones_for_word(word)
syllable_count = pr.syllable_count(word_phones[0])
if syllable_count == 3:
sea = string.capwords((word + " sea"))
three_syllable_words.append(sea)
return three_syllable_words
def stresses(self):
"""
Return a string of the stresses for the given word.
Consumers of this string make the following assumptions:
- syllables with a "1" should be stressed by the meter
- syllables with a "2" can be stressed or unstressed by the meter
- syllables with a "0" should be unstressed by the meter
"""
word_stresses = stresses(self.phones)
# Poets often signal syllables that would normally be silent this way.
if "è" in self.word:
word_stresses += "2"
# Words of one syllable can usually be pronounced either way.
if word_stresses in ("1", "0"):
word_stresses = "2"
return word_stresses
def stresses_for_word_sequence(word_sequence):
"""Gets the CMUdict stress sequence for a given word sequence.
Args:
word_sequence (list): A list of words.
Returns:
string: A stress sequence where 0 is zero stress, 1 is primary stress,
and 2 is secondary stress.
"""
stress_sequence = []
for word in word_sequence:
result = pronouncing.phones_for_word(word)
if result:
stress_sequence.append(pronouncing.stresses(result[0]))
else:
return ''
return ''.join(stress_sequence)
def word_matches_stress(word: str, stress_pattern_match: str) -> bool:
'''
eg: stress_pattern_match = "010"
'''
pronunciations = p.phones_for_word(
word
) # word can have more than 1 pronunciation. eg: lead of a pencil, someone lead someone
for pronunciation in pronunciations:
original_stress_pattern = p.stresses(pronunciation)
# we consider both 1 and 2 as a stressed syllable
# our generated pattern match is only ever 1s and 0s
stress_pattern = original_stress_pattern.replace("2", "1")
# in case 1 pronunciation matches but the other one doesn't
if stress_pattern == stress_pattern_match:
return True
return False
def find_words():
# Find words with mattching stress patterns
beluga_phones = pr.phones_for_word("beluga")
last_beluga_phone = pr.phones_for_word("beluga")[0].split(" ")[-1]
beluga_stresses = pr.stresses(beluga_phones[0])
words_with_stress_pattern = pr.search_stresses(beluga_stresses)
# Find words with matching end phone
words_ending_with_ah = pr.search(last_beluga_phone + "$")
# Find words with correct syllable count
words_with_stress_and_ending = list(
set(words_with_stress_pattern).intersection(words_ending_with_ah))
three_syllable_words = []
for word in words_with_stress_and_ending:
word_phones = pr.phones_for_word(word)
syllable_count = pr.syllable_count(word_phones[0])
if syllable_count == 3:
three_syllable_words.append(word)
return three_syllable_words
def get_places():
keepers = []
place_lists = [
[place["city"] for place in pycorpora.geography.us_cities['cities']],
[place["city"] for place in pycorpora.geography.norwegian_cities['cities']],
pycorpora.geography.english_towns_cities['towns'],
pycorpora.geography.english_towns_cities['cities'],
[river["name"] for river in pycorpora.geography.rivers["rivers"]],
pycorpora.geography.countries['countries'],
[place["name"] for place in pycorpora.geography.canadian_municipalities["municipalities"]],
[place['name'] for place in pycorpora.geography.london_underground_stations['stations']]
]
big_places_list = []
for pl in place_lists:
big_places_list += pl
for place in big_places_list:
pronunciation_list = pronouncing.phones_for_word(place)
if (len(pronunciation_list) > 0):
syllable_count = pronouncing.syllable_count(pronunciation_list[0])
stresses = pronouncing.stresses(pronunciation_list[0])
if (syllable_count == 3 and stresses[1] == '1'):
keepers.append(place)
elif (syllable_count == 2 and stresses[0] == '1'):
keepers.append(place)
return keepers
def get_word_stresses(word: str) -> str:
"""
Using the pronouncing library, get the stress pattern of a single word.
Numbers will be changed into words, e.g. 10 -> ten, and then the stress
of that checked. If a number is 4 digits, it will be treated as a year, e.g.
1918 -> "nineteen eighteen".
Parameters:
word (str): The word to check.
Returns:
A string of 0s, 1s, or 2s, representing the stress pattern of any given
word. If a word isn't recognized, or for any other reason there's an
error, the string will contain an A for easy checking.
"""
# If the word is "500", numbers_to_words changes that to "five hundred", two
# seperate words. Return a list of every word, so get_title_stresses() can
# go over them again.
word = numbers_to_words(word)
if " " in word:
return word.split()
# We want to forceably change the stress for certain words (found in
# constants.py).
for override, stresses in PRONUNCIATION_OVERRIDES:
if word.lower() == override.lower():
return stresses
phones = pronouncing.phones_for_word(word)
if not phones:
return "A"
stresses = pronouncing.stresses(phones[0])
return stresses
def stress_pattern(phones):
return pronouncing.stresses(''.join(p for p in phones))
def test_stresses(self):
stresses = pronouncing.stresses('P ER0 M IH1 T')
self.assertEqual('01', stresses)
stresses = pronouncing.stresses('P ER1 M IH2 T')
self.assertEqual('12', stresses)
def stress_pattern(phones):
return pronouncing.stresses(''.join(p for p in phones))
def rhyme_degree(target_word, test_word):
"""Returns a number between 0 and 1 as the degree of rhyming between two
words, with 1 being an exact rhyme and 0 being no similarity at all."""
if test_word in pnc.rhymes(target_word):
print('\rFound rhyme pair from the pronouncing library:')
print(target_word, 'and', test_word)
return 1
# extract word part from last stressed syllable excluding that syll's onset
rhymes = {target_word: None, test_word: None}
for word in rhymes:
try:
# get pronounciation for word
pron = pnc.phones_for_word(word)[0]
except IndexError: # in case one of the words is not in the dictionary
return 0
# get stress pattern and find last stressed syllables
stress = pnc.stresses(pron)
last_stress = max([stress.rfind('1'), stress.rfind('2')])
try:
sylls = ARPA.syllabifyARPA(pron, return_list=True)
except ValueError: # in case the word cannot be syllabified
return 0
sylls = sylls[last_stress:]
first_onset = re.split(ARPA.VOWELS_REGEX, sylls[0])[0]
sylls[0] = sylls[0].replace(first_onset, '', 1)
rhymes[word] = sylls
# test for matching vowels and consonant clusters in onset and coda
# the stressed vowel weighs double
phones = 1 + max([
sum(len(syll.split()) for syll in rhyme) for rhyme in rhymes.values()
])
matches = 0
for target_syll, test_syll in zip(rhymes[target_word], rhymes[test_word]):
target_vowel = [
phone for phone in target_syll.split()
if re.match(ARPA.VOWELS_REGEX, phone)
][0]
test_vowel = [
phone for phone in test_syll.split()
if re.match(ARPA.VOWELS_REGEX, phone)
][0]
target_clusters = target_syll.split(target_vowel)
test_clusters = test_syll.split(test_vowel)
# measure match of syllable onsets
matches += len(
set(target_clusters[0].strip().split()).intersection(
set(test_clusters[0].strip().split())))
# measure match of vowels
if target_vowel[:2] == test_vowel[:2]: # test for the vowel itself
matches += 1
# test for similar stress
if (target_vowel[-1] in ['1', '2']
and target_vowel[-1] == test_vowel[-1]):
matches += 1
# measure match of syllable codas
matches += len(
set(target_clusters[1].strip().split()).intersection(
set(test_clusters[1].strip().split())))
degree = matches / phones
if degree > 0.7:
print('\rFound rhyme pair with a rhyming degree of: ', degree)
print(rhymes)
return degree
import enchant
import pronouncing
dictionary = enchant.request_dict("en_US")
print dictionary.suggest("untrimm'd")
print dictionary.suggest("don't")
phones = pronouncing.phones_for_word("dont")
print phones
if phones:
first_phone = phones[0]
stresses = pronouncing.stresses(first_phone)
print stresses
def test_stresses(self):
stresses = pronouncing.stresses("P ER0 M IH1 T")
self.assertEqual("01", stresses)
stresses = pronouncing.stresses("P ER1 M IH2 T")
self.assertEqual("12", stresses)
def test_stresses(self):
stresses = pronouncing.stresses('P ER0 M IH1 T')
self.assertEqual('01', stresses)
stresses = pronouncing.stresses('P ER1 M IH2 T')
self.assertEqual('12', stresses)
import enchant
import pronouncing
dictionary = enchant.request_dict("en_US")
print(dictionary.suggest("untrimm'd"))
print(dictionary.suggest("don't"))
phones = pronouncing.phones_for_word("dont")
print(phones)
if phones:
first_phone = phones[0]
stresses = pronouncing.stresses(first_phone)
print(stresses)
