[MAJOR UPDATE]Added syllabled letters functionallity and added letters attributes to letter accetuation

master
lkrsnik 7 years ago
parent 38797b37d4
commit 76dc71ce55

@ -4,7 +4,7 @@
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<change type="MODIFICATION" beforePath="$PROJECT_DIR$/cnn/word_accetuation/syllables/cnn.ipynb" afterPath="$PROJECT_DIR$/cnn/word_accetuation/syllables/cnn.ipynb" />
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@ -35,8 +35,8 @@
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@ -156,13 +156,14 @@
<find>generate</find>
<find>shuffle</find>
<find>X_</find>
<find>dictionary</find>
<find>create_dict</find>
<find>split_content</find>
<find>decode_position</find>
<find>'r'</find>
<find>decode</find>
<find>complete_feature_dict</find>
<find>dictionary</find>
<find>voiced_consonants</find>
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@ -207,6 +208,8 @@
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@ -881,8 +882,8 @@
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@ -310,9 +310,16 @@ def old_generate_full_matrix_inputs():
# Generate each y as an array of 11 numbers (with possible values between 0 and 1)
def generate_X_and_y(dictionary, max_word, max_num_vowels, content, vowels, accetuated_vowels, feature_dictionary, shuffle_vector_location, shuffle=True):
def generate_X_and_y(dictionary, max_word, max_num_vowels, content, vowels, accetuated_vowels, feature_dictionary, shuffle_vector_location, shuffle=True, aditional_letter_attributes=True):
y = np.zeros((len(content), max_num_vowels))
X = np.zeros((len(content), max_word, len(dictionary)))
if aditional_letter_attributes:
X = np.zeros((len(content), max_word, len(dictionary) + 6))
voiced_consonants = get_voiced_consonants()
resonant_silent_consonants = get_resonant_silent_consonants()
unresonant_silent_consonants = get_unresonant_silent_consonants()
else:
X = np.zeros((len(content), max_word, len(dictionary)))
print('CREATING OTHER FEATURES...')
X_other_features = create_X_features(content, feature_dictionary)
print('OTHER FEATURES CREATED!')
@ -327,6 +334,20 @@ def generate_X_and_y(dictionary, max_word, max_num_vowels, content, vowels, acce
X[i][j][index] = 1
break
index += 1
if aditional_letter_attributes:
if is_vowel(el[0], j, vowels):
X[i][j][len(dictionary)] = 1
else:
X[i][j][len(dictionary) + 1] = 1
if c in voiced_consonants:
X[i][j][len(dictionary) + 2] = 1
else:
X[i][j][len(dictionary) + 3] = 1
if c in resonant_silent_consonants:
X[i][j][len(dictionary) + 4] = 1
elif c in unresonant_silent_consonants:
X[i][j][len(dictionary) + 5] = 1
j += 1
j = 0
word_accetuations = []
@ -991,7 +1012,6 @@ def dict_occurances_in_dataset_rate(content):
case_numbers = np.sum(X_other_features, axis=0)
print(case_numbers)
def get_voiced_consonants():
return ['m', 'n', 'v', 'l', 'r', 'j', 'y', 'w']
@ -1003,15 +1023,6 @@ def get_unresonant_silent_consonants():
def split_consonants(consonants):
# def voiced_consonants():
# return ['m', 'n', 'v', 'l', 'r', 'j', 'y', 'w']
#
# def resonant_silent_consonants():
# return ['b', 'd', 'z', 'ž', 'g']
#
# def unresonant_silent_consonants():
# return ['p', 't', 's', 'š', 'č', 'k', 'f', 'h', 'c']
# test = get_voiced_consonants()
voiced_consonants = get_voiced_consonants()
resonant_silent_consonants = get_resonant_silent_consonants()
unresonant_silent_consonants = get_unresonant_silent_consonants()
@ -1146,7 +1157,7 @@ def generate_syllable_X_and_y(dictionary, max_word, max_num_vowels, content, vow
i += 1
# print(len(X))
# print(X[0])
X = np.array(X)
# X = np.array(X)
# print(X.shape)
# print(X[0])
# print(len(X))
@ -1174,3 +1185,97 @@ def generate_fake_epoch_syllables(orig_X, orig_X_additional, orig_y, batch_size,
gen_orig_X = eye[orig_X[loc:loc + batch_size]]
yield([gen_orig_X, orig_X_additional[loc:loc + batch_size]], orig_y[loc:loc + batch_size])
loc += batch_size
def get_max_syllable(syllable_dictionary):
max_len = 0
for el in syllable_dictionary:
if len(el) > max_len:
max_len = len(el)
return max_len
def generate_syllabled_letters_inputs(content_shuffle_vector_location, shuffle_vector_location):
dictionary, max_word, max_num_vowels, content, vowels, accetuated_vowels = create_dict()
train_content, test_content, validate_content = split_content(content, 0.2, content_shuffle_vector_location)
feature_dictionary = create_feature_dictionary()
print('CREATING SYLLABLE DICTIONARY...')
syllable_dictionary = create_syllables_dictionary(content, vowels)
max_syllable = get_max_syllable(syllable_dictionary)
print('CREATION SUCCESSFUL!')
# Generate X and y
print('GENERATING X AND y...')
X_train, X_other_features_train, y_train = generate_syllable_X_and_y(syllable_dictionary, max_word, max_num_vowels, train_content, vowels,
accetuated_vowels, feature_dictionary, shuffle_vector_location + '_train.h5')
X_test, X_other_features_test, y_test = generate_syllable_X_and_y(syllable_dictionary, max_word, max_num_vowels, test_content, vowels,
accetuated_vowels, feature_dictionary, shuffle_vector_location + '_test.h5')
X_validate, X_other_features_validate, y_validate = generate_syllable_X_and_y(syllable_dictionary, max_word, max_num_vowels, validate_content,
vowels, accetuated_vowels, feature_dictionary,
shuffle_vector_location + '_validate.h5')
print('GENERATION SUCCESSFUL!')
return X_train, X_other_features_train, y_train, X_test, X_other_features_test, y_test, X_validate, X_other_features_validate, y_validate
# generator for inputs for tracking of data fitting
def generate_fake_epoch_syllabled_letters(orig_X, orig_X_additional, orig_y, batch_size, syllable_letters_translator):
size = orig_X.shape[0]
# eye = np.eye(dictionary_size, dtype=int)
while 1:
loc = 0
while loc < size:
if loc + batch_size >= size:
# [eye[i] for i in range(size-loc)]
# gen_orig_X = eye[orig_X[loc:size]]
# gen_orig_X = [eye[i] for i in range(size-loc)]
gen_orig_X = syllable_letters_translator[orig_X[loc:size]]
yield([gen_orig_X, orig_X_additional[loc:size]], orig_y[loc:size])
else:
gen_orig_X = syllable_letters_translator[orig_X[loc:loc + batch_size]]
yield([gen_orig_X, orig_X_additional[loc:loc + batch_size]], orig_y[loc:loc + batch_size])
loc += batch_size
def create_syllable_letters_translator(max_syllable, syllable_dictionary, dictionary, vowels, aditional_letter_attributes=True):
if aditional_letter_attributes:
voiced_consonants = get_voiced_consonants()
resonant_silent_consonants = get_resonant_silent_consonants()
unresonant_silent_consonants = get_unresonant_silent_consonants()
syllable_letters_translator = []
for syllable in syllable_dictionary:
di_syllable = []
for let in range(max_syllable):
# di_let = []
for a in dictionary:
if let < len(syllable) and a == list(syllable)[let]:
di_syllable.append(1)
else:
di_syllable.append(0)
if aditional_letter_attributes:
if let >= len(syllable):
di_syllable.extend([0, 0, 0, 0, 0, 0])
elif is_vowel(list(syllable), let, vowels):
di_syllable.extend([1, 0, 0, 0, 0, 0])
else:
# X[i][j][len(dictionary) + 1] = 1
if list(syllable)[let] in voiced_consonants:
# X[i][j][len(dictionary) + 2] = 1
di_syllable.extend([0, 1, 1, 0, 0, 0])
else:
# X[i][j][len(dictionary) + 3] = 1
if list(syllable)[let] in resonant_silent_consonants:
# X[i][j][len(dictionary) + 4] = 1
di_syllable.extend([0, 1, 0, 1, 1, 0])
elif list(syllable)[let] in unresonant_silent_consonants:
# X[i][j][len(dictionary) + 5] = 1
di_syllable.extend([0, 1, 0, 1, 0, 1])
else:
di_syllable.extend([0, 0, 0, 0, 0, 0])
# di_syllable.append(di_let)
syllable_letters_translator.append(di_syllable)
syllable_letters_translator = np.array(syllable_letters_translator, dtype=int)
return syllable_letters_translator

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