def pos_tag(sentence, kuro_server):
tagged_words = []
kuromoji = kuro_server.kuromoji
tokenizer = kuromoji.Tokenizer.builder().build()
tokens = tokenizer.tokenize(sentence)
for elem in [[
x.getBaseForm()
if x.getBaseForm() is not None else x.getSurfaceForm(),
pos_interpreter(x.getPartOfSpeech()),
x.getSurfaceForm(),
x.getReading(),
] for x in tokens]:
ru_or_u = ru_or_u_verb(elem)
if ru_or_u:
tagged_words.append([
elem[0], [*elem[1], ru_or_u], elem[2],
romkan.to_roma(elem[0]), elem[3],
romkan.to_roma(elem[3])
])
else:
try:
tagged_words.append([
elem[0], elem[1], elem[2],
romkan.to_roma(elem[0]) if elem[0] else "", elem[3],
romkan.to_roma(elem[3])
])
except:
pass
return tagged_words
def maybe_potential_form(self) -> Optional[str]:
pos = self.pos_str()
surface = self.surface()
maybe_dform = None
if (pos[0] == "v" and len(self.morphemes) == 1
and self.morphemes[0].dictionary_form() == surface
and romkan.to_roma(surface).endswith("eru")
and not jmdict_lookup(surface).entries):
suf = romkan.to_hiragana(romkan.to_roma(surface[-2:])[:-3] + "u")
maybe_dform = surface[:-2] + suf
elif (pos[0] == "v"
and romkan.to_roma(self.morphemes[0].surface()).endswith("e")
and not jmdict_lookup(surface).entries):
suf = romkan.to_hiragana(
romkan.to_roma(self.morphemes[0].surface()[-1])[:-1] + "u")
maybe_dform = self.morphemes[0].surface()[:-1] + suf
if not maybe_dform:
return
maybe_pos: SudachiPos = parse(maybe_dform)[0].part_of_speech()
if (surface not in merge_multi_dicts([
flip_multi_dict(m)
for m in all_conjugations(maybe_dform, maybe_pos).values()
]).keys()):
return
if not jmdict_lookup(maybe_dform).entries:
return
return maybe_dform
def slugify(data: str) -> str:
slug = "".join(s for s in data.strip() if s in ALLOWED)
# if its just a date with underscores or spaces
if set(slug.strip()).issubset(SLUG_DIGITS):
# try to convert japanese text to romaji to prevent image clashes
slug = "".join(s for s in romkan.to_roma(data).strip() if s in ALLOWED)
return slug.replace(" ", "_").casefold().strip()
def __init__(self, latin = "", romaji = "", kana = "",
display_name = "", type = "", hanabira_setsumei = "", hana_tsukikata = "", ha_tsukikata = "", ha_katachi = "", kyoshi = "", iro = "", hanabira_kazu = [0], shokudoku = [], kaki = [], seiikubasho = [], bunpu = [], kishibe_type = None):
kana = try_unicode(kana)
if not romaji and kana:
romaji = romkan.to_roma(kana).replace("n'", "nn")
elif not kana and romaji:
kana = romkan.to_kana(romaji)
self.romaji = romaji
self.kana = kana
self.latin = latin
#self.latin = latin if latin else ""
self.display_name = display_name if display_name else self.kana
self.kaki = kaki
self.bunpu = bunpu
#self.kaki = kaki if kaki else []
#self.bunpu = bunpu if bunpu else []
self.kishibe_type = kishibe_type
self.seiikubasho = seiikubasho
#self.seiikubasho = seiikubasho if seiikubasho else []
self.type = type
self.hanabira_kazu = hanabira_kazu
self.hanabira_setsumei = hanabira_setsumei
self.shokudoku = shokudoku
self.hana_tsukikata = hana_tsukikata
self.ha_tsukikata = ha_tsukikata
self.ha_katachi = ha_katachi
self.iro = iro
self.kyoshi = kyoshi
def findMatch(line):
alphabets = []
nonalphabets = []
romanized = []
words = filter(lambda word : word != '' and not re.search(r'\d', word),line.split(' '))
for word in words:
if re.search('[a-zA-Z]' ,word) and len(word) > 1:
alphabets.append(word)
elif is_katakana(word):
nonalphabets.append(word)
romanized.append(romkan.to_roma(word))
dim = (len(alphabets), len(romanized))
similarity = numpy.zeros(dim)
for i in range(len(alphabets)):
for j in range(len(romanized)):
alphabet_len = len(alphabets[i])
romanized_len = len(romanized[j])
max_len = max(alphabet_len, romanized_len)
similarity[i][j] = numpy.linalg.norm(vectorize(alphabets[i], max_len)-vectorize(romanized[j], max_len))
# similarity[i][j] = distance.euclidean(vectorize(alphabets[i], max_len),vectorize(romanized[j], max_len))
ans = []
for i in range(min(dim[0], dim[1])):
row_index = similarity.argmin() / similarity.shape[1]
col_index = similarity.argmin() % similarity.shape[1]
ans.append((alphabets[row_index],nonalphabets[col_index], similarity[row_index,col_index],line))
del alphabets[row_index]
del nonalphabets[col_index]
similarity = numpy.delete(similarity, row_index, 0)
similarity = numpy.delete(similarity, col_index, 1)
return ans
def kanji_to_romaji(self, text):
convert = self.conv
hiragana_text = convert.do(text)
romaji_text = romkan.to_roma(hiragana_text)
return (hiragana_text, romaji_text)
def findMatch(line):
alphabets = []
nonalphabets = []
romanized = []
words = filter(lambda word: word != '' and not re.search(r'\d', word),
line.split(' '))
for word in words:
if re.search('[a-zA-Z]', word) and len(word) > 1:
alphabets.append(word)
elif has_katakana(word):
nonalphabets.append(word)
romanized.append(romkan.to_roma(word))
dim = (len(alphabets), len(romanized))
similarity = numpy.zeros(dim)
for i in range(len(alphabets)):
for j in range(len(romanized)):
similarity[i][j] = distance.euclidean(vectorize(alphabets[i]),
vectorize(romanized[j]))
ans = []
if dim[1] > 0:
for i in range(dim[0]):
if min(similarity[i, :]) < 0.5:
j = numpy.argmin(similarity[i, :])
ans.append((alphabets[i], nonalphabets[j]))
return ans
def map_dict_form_to_different_ending(verb, romaji_ending, *special_endings):
'''Generates Godan verb stem and computes the correct particle to attach based on the
verb's last kana
Args:
verb (str): Japanese verb in kana, might contain kanji
romaji_ending (str): target sound of the particle to append to the verb
*special_endings: Variable length argument list. Based on the target Godan particle
class (-a, -e, -i, -o). Order of particles is -u / -tsu / -su.
Returns:
str: verb stem with the correct particle attached depending on the last kana particle
of the Godan verb
'''
last_kana = splice_verb(verb, VerbClass.GODAN, False)
verb_stem = splice_verb(verb, VerbClass.GODAN)
if last_kana == U_PARTICLE:
return "{}{}".format(verb_stem, special_endings[0])
elif last_kana == TSU_PARTICLE:
return "{}{}".format(verb_stem, special_endings[1])
elif last_kana == SU_PARTICLE:
return "{}{}".format(verb_stem, special_endings[2])
else:
transformed_last_kana_as_romaji = "{}{}".format(
romkan.to_roma(last_kana)[:-1], romaji_ending)
return "{}{}".format(
verb_stem, romkan.to_hiragana(transformed_last_kana_as_romaji))
def output_text_per_hom(OutJsonFP, Max=3000):
def is_of_interest(Orths):
#Bool=True
KanjiOnly = False
# at least 2 variations in orth
if len(Orths) < 2:
return False, None
# at least two is kanji orths
else:
KanjiOrths = [
Orth for Orth in Orths
if myModule.at_least_one_of_chartypes_p(Orth, ['han'])
]
if len(KanjiOrths) < 2:
return False, None
elif len(KanjiOrths) == len(Orths):
KanjiOnly = True
return True, KanjiOnly
LCnt = 7900 #myModule.get_linecount(OutJsonFP)
TxtDir = os.path.join(os.path.dirname(OutJsonFP),
os.path.basename(OutJsonFP) + '_txt')
if not os.path.isdir(TxtDir):
os.mkdir(TxtDir)
CntSoFar = 0
Cntr = 0
CntThresh = LCnt / 1000
with open(OutJsonFP) as FSr:
#print('retrieving homvecs for '+Hom+'...')
while FSr or Cntr < Max:
Ret = get_hom_in_file(FSr, OutJsonFP, FstPosition=CntSoFar)
if Ret:
FSr, OrthsVecs, Hom, Cnt, MultiToks = Ret
else:
break
#except:
# get_hom_in_file(FSr,OutJsonFP,FstPosition=CntSoFar)
Orths = list(OrthsVecs.keys())
print('For ' + Hom + ', we found the following orths, ' +
str(Cnt) + ' items')
print(Orths)
print(CntThresh)
IsOfInt, KanjiOnly = is_of_interest(Orths)
if not (Cnt > CntThresh and len(Hom.split(':')[0]) >= 2
and IsOfInt):
print('not selected for printing\n')
else:
print('writing out...')
RomHom = romkan.to_roma(Hom)
OutHomFP = os.path.join(TxtDir, 'homvecs_' + RomHom)
with open(OutHomFP, 'wt') as FSw:
FSw.write(stringify_hom_vecs(OrthsVecs))
print('... done, fp: ' + OutHomFP)
if KanjiOnly:
RefClusterFP = OutHomFP + '.refclusters'
with open(RefClusterFP, 'wt') as FSw:
FSw.write('\t'.join(get_cluster_ref(OrthsVecs)))
CntSoFar += Cnt
Cntr += 1
def verify_reading(self, guess, readings=None):
guess = romkan.to_roma(romkan.to_kana(guess.replace(' ', '')))
if not readings:
readings = set(
Association.objects.filter(
expression=self.expression).values_list('reading',
flat=True))
readings = map(romkan.to_roma, readings)
return guess in readings
def make_roma_subname(name_ja):
subname = re.sub(r'[＝]', '', name_ja)
subname = re.sub(r'[「」]', '・', subname)
adjusted_subname = ''
for part in subname.split('・'):
roma_part = romkan.to_roma(part)
if part != roma_part and not contains_ja(roma_part):
adjusted_subname += ' ' + roma_part.strip('-')
return adjusted_subname.strip()
def calculatePartsKana(self, aString):
s = set()
kana = romkan.to_katakana(romkan.to_roma(aString))
for e in aString.split(" "):
s |= self.calculatePartsElement(kana)
return self.serializeSet(s)
def get_romaji(sent):
t = Tokenizer()
readings = ""
for token in t.tokenize(sent):
surface = regex.split("[\t,]", str(token).decode('utf8'))[0]
reading = regex.split("[\t,]", str(token).decode('utf8'))[-2]
reading = surface if reading == "*" else reading
readings += reading
romaji = romkan.to_roma(readings)
return romaji
def clean(self):
if not self.hiragana:
self.hiragana = romkan.to_hiragana(self.romaji)
elif not self.romaji:
self.romaji = romkan.to_roma(self.hiragana).capitalize()
elif not self.hiragana and not self.romaji:
raise ValidationError(
"You have to enter either the Hiragana or Romaji of a Word")
self.slug = slugify(self.romaji)
def lemmatize_with_mecab(expression, kanji):
'''Find the first word containing kanji; return (lemma, reading).'''
nodes = mecab_tagger.parseToNode(expression)
while nodes:
features = nodes.feature.split(',')
if kanji in features[10]:
lemma = features[10]
reading = romkan.to_hiragana(romkan.to_roma(features[6]))
return ((lemma, reading))
nodes = nodes.next
raise (ValueError("Mecab failed: %s, %s" % (expression, kanji)))
def lemmatize_with_mecab(expression, kanji):
'''Find the first word containing kanji; return (lemma, reading).'''
nodes = mecab_tagger.parseToNode(expression)
while nodes:
features = nodes.feature.split(',')
if kanji in features[10]:
lemma = features[10]
reading = romkan.to_hiragana(romkan.to_roma(features[6]))
return((lemma, reading))
nodes = nodes.next
raise(ValueError("Mecab failed: %s, %s" % (expression, kanji)))
def split_alpha(line):
out = []
for char in line:
if char in ('ァ', 'ィ', 'ゥ', 'ェ', 'ォ', 'ャ', 'ュ', 'ョ'):
if out:
out[-1] += char
else:
out.append(char)
else:
out.append(char)
return [("ッ".join("ン".join(kana.split("N")).split("q")), romkan.to_roma(kana)) for kana in out]
def index():
text = request.query.getunicode('text', '')
words = mc.parse(text).strip().split(' ')
pronunciation = [jmdict.get(w, ([], []))[0] for w in words]
english = [jmdict.get(w, ([], []))[1] for w in words]
romaji = [[romkan.to_roma(w) for w in p] for p in pronunciation]
return {"text": text,
"words": words,
"pronunciation": pronunciation,
"romaji": romaji,
"english": english}
def train(features):
print "START TRAINING"
worddic = dict()
for linenum,line in enumerate(features):
items = line.strip().split("\t")
string = items[0].decode("utf8")
string_roma = unicodedata.normalize("NFKC",romkan.to_roma(string))
freq = float(items[1])
worddic[string_roma] = freq
if linenum % 10000 == 0:
print "{:>2}%".format(linenum/10000)
print "FINISH TRAINING\n"
return worddic
def listen_japanese(self):
pygame.mixer.init()
for i, item in enumerate(self.get_japanese_items()):
file_name = '%s.mp3' % romkan.to_roma(item.text().replace(' ', '_'))
path = os.path.join(self.window().japanese_path(), file_name)
self.soundfiles.append(path)
if not os.path.exists(path):
tts = gTTS(text=item.text(), lang='ja')
tts.save(path)
pygame.mixer.music.load(path)
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(20000)
def slugify(text):
"""Version of slugify that supports Japanese characters"""
if not text:
return ""
slug = django_slugify(text)
if not slug:
# Title may be in Japanese
slug = django_slugify(romkan.to_roma(text))
if not slug:
# Title may be in Chinese
pinyin = Pinyin()
slug = django_slugify(pinyin.get_pinyin(text))
return slug[:50]
def train(features):
print "START TRAINING"
worddic = dict()
for linenum, line in enumerate(features):
items = line.strip().split("\t")
string = items[0].decode("utf8")
string_roma = unicodedata.normalize("NFKC", romkan.to_roma(string))
freq = float(items[1])
worddic[string_roma] = freq
if linenum % 10000 == 0:
print "{:>2}%".format(linenum / 10000)
print "FINISH TRAINING\n"
return worddic
def read_kanjidic(filepath):
"""Given path to kanjidic file, returns a dictionary of character readings by
language, eg: char_dict["犬"] >> (['quan3', 'quan2'], ['gyeon'], ['ken'])
"""
char_dict = {} # Should have 6355 characters
with open(filepath, encoding="u-jis") as f:
for line in f:
han = re.findall(re_han, line)
if len(han) == 1: # Skip non dictionary entry lines
char = han[0] # Character itself
mandarin = re.findall(re_mandarin, line)
hanja = re.findall(re_hanja, line)
# Note: In Japanese, some characters have on-yomi but not kun-yomi, and vice-versa
jp_onyomi = re.findall(re_katakana,
line) # Sino-japanese reading(s)
jp_kunyomi = re.findall(re_hiragana,
line) # Native japanese reading(s)
# Convert to Latin alphabet
jp_onyomi = [romkan.to_roma(x) for x in jp_onyomi]
jp_kunyomi = [romkan.to_roma(x) for x in jp_kunyomi]
# Fix things like 瓩:キログラム being interpreted as onyomi b/c katakana usage
for x in jp_onyomi:
if len(x) > 6:
jp_kunyomi += [x]
jp_onyomi.remove(x)
# Remove leading identifier character, eg: Ywo3 -> wo3
hanja = [x[1:] for x in hanja]
mandarin = [x[1:] for x in mandarin]
# Provide dummy values if one training lanaguage is missing a reading
# eg: Learn mandarin pronunciation from just the hanjul
# (Assumes Mandarin is training objective)
if len(hanja) < 1:
hanja = ["*"]
if len(jp_onyomi) < 1:
jp_onyomi = ["*"]
char_dict[char] = (mandarin, hanja, jp_onyomi
) # Don't care about kunyomi
return char_dict
def get_inserts(max_chunk=10000):
inserts = []
parser = Parser(PATH_TO_EDICT2)
i = 0
for e in parser.parse():
i += 1
e['english'] = [g['english'] for g in e['glosses']]
e['romaji'] = romkan.to_roma(e['furigana'])
e['common_boost'] = 2.0 if e['common'] is True else 1.0
inserts.append(e)
if i % max_chunk == 0:
yield inserts
inserts = []
yield inserts
def default_to_hiragana(self, row, col):
items = self.tableWidget.selectedItems()
if items:
for item in items:
if item.column():
if not self.lang_mode:
item.setText(romkan.to_hiragana(item.text()))
item = self.tableWidget.item(row, col)
if item:
self.page_data['%s,%s' % (row, col)] = item.text()
if col:
self.page_data['%s,%s' % (row, col)] = romkan.to_roma(item.text())
self.data['page_%s' % self.window().pageLab.text()] = self.page_data
self.update_config(self.data)
def get_inserts(max_chunk=10000):
inserts = []
parser = Parser(PATH_TO_EDICT2)
i = 0
for e in parser.parse():
i += 1
e['english'] = [g['english'] for g in e['glosses']]
e['romaji'] = romkan.to_roma(e['furigana'])
e['common_boost'] = 2.0 if e['common'] == True else 1.0
inserts.append(e)
if i % max_chunk == 0:
yield inserts
inserts = []
yield inserts
def ru_or_u_verb(pos_tags):
if 'verb' in pos_tags[1]:
if pos_tags[0] in ["する", "くる"]:
return "exception"
if pos_tags[0][-1] != "る":
return 'u-verb'
roma = romkan.to_roma(pos_tags[0].replace(pos_tags[2], pos_tags[3]))
if roma[-3] not in ['i', 'e']:
return 'u-verb'
else:
if pos_tags[0] not in ru_verb_exceptions:
return 'ru-verb'
else:
return 'u-verb'
def to_romaji(token):
replace_dict = {'': ['a', 'e', 'i', 'o', 'u'],
'b': ['v'],
'p': ['f', 'h'],
'c': ['k'],
'l': ['r'],
's': ['z'],
'g': ['j']
}
token = re.sub('[^a-z]', '', romkan.to_roma(token).lower())
for newtokens, tokens in replace_dict.iteritems():
for oldtoken in tokens:
token = token.replace(oldtoken, newtokens)
return token
def slugify(text):
"""Version of slugify that supports Japanese and Chinese characters"""
if not text:
return ""
slug = django_slugify(text)
if not slug:
# Title may be in Japanese
slug = django_slugify(romkan.to_roma(text))
if not slug:
# Title may be in Chinese
pinyin = Pinyin()
slug = django_slugify(pinyin.get_pinyin(text))
if not slug:
# Try transliterate which supports Cyryllic, Greek and other alphabets
slug = django_slugify(translit(text, reversed=True))
return slug[:50]
def hiragana_candidates(word,num):
if not isinstance(word,unicode): #unicode check
word = word.decode("utf8")
romaji = unicodedata.normalize("NFKC",romkan.to_roma(word))
print "romaji:{}".format(romaji)
candidates = prob(romaji) + edit1_prob(romaji) + edit2_prob(romaji)
if candidates:
for i,word_prob_tuple in enumerate(sorted(candidates,key=lambda x :x[1],reverse=True)[:num]):
romaji = word_prob_tuple[0]
p = word_prob_tuple[1]
kana = romkan.to_hiragana(romaji).encode("utf8")
print " {} : {:<10}{:<20} {:<}".format(i+1,kana,"("+romaji+")",p)
else:
print "NO RESULT"
def decompose_hiraganas(hiraganas):
'''Decompose the hiragana str into consonants & vowels'''
alphabets = []
# Convert hiragans into Romaji,
# then divide string (e.g. "abc") into list (e.g. ["a", "b", "c"])
alphabets[:0] = romkan.to_roma(hiraganas)
vowels = []
for i, alphabet in enumerate(alphabets):
if alphabet in ["a", "e", "i", "o", "u"]:
vowels.append(alphabets.pop(i))
return {"consonants": alphabets, "vowels": vowels}
def phonemize(x):
if x not in cachedPhonemization:
phonemized = romkan.to_roma(x)
if max([ord(y) for y in phonemized]) > 200: # contains Kanji
cachedPhonemization[x] = x
else:
if x.endswith("っ"):
assert phonemized.endswith("xtsu")
phonemized = phonemized.replace("xtsu",
"G") # G for `geminate'
phonemized = phonemized.replace("ch", "C")
phonemized = phonemized.replace("sh", "S")
phonemized = phonemized.replace("ts", "T")
cachedPhonemization[x] = phonemized
phonemized = cachedPhonemization[x]
return phonemized
def scrape_japanese_definitions(html, max_results=3):
'''
Extract japanese kanji, kana, english definitions and parts of speech
from html off jisho.org.
Return the values as a list of strings.
If nothing found, return None.
'''
results = []
try:
soup = BeautifulSoup(html)
kanji = soup.findAll('td', {'class': 'kanji_column'})
kana = soup.findAll('td', {'class': 'kana_column'})
engrish = soup.findAll('td', {'class': 'meanings_column'})
if not kanji or not kana or not engrish:
return None
kanji = [' '.join(x.stripped_strings) for x in kanji]
kana = [' '.join(x.stripped_strings) for x in kana]
romaji = [romkan.to_roma(x) for x in kana]
engrish = [elipsize(' '.join(x.stripped_strings)) for x in engrish]
results = zip(kanji, kana, romaji, engrish)
'''
#before forming final definitions string list from these sublists
#we'll remove definitions which have identical english meanings???
results = []
for i,definition in enumerate(definitions):
if len(results>0) and definition[3] in results[:i-1][3]:
pass
else:
results.append(definition)
'''
#form final results from zipped list and return
'''
results = [u'{white}{kanji}{white}{kana}{white}{romaji}{white}{engrish}'.format( \
white= foreground(u'black') + background(u'white'), \
black=style(u'normal'), \
kanji=(u' '+x[0]+u' '+style(u'normal')+u' ' if x[0] else u''), \
kana=(u' '+x[1]+u' '+style(u'normal')+u' ' if x[1] else u''), \
romaji=(u' '+x[2]+u' '+style(u'normal')+u' ' if x[2] else u''), \
engrish=(u' '+x[3]+u' '+style(u'normal')+u' ' if x[3]else u'')) for x in results[:max_results]]
'''
lookups = [Lookup(x[0],x[1],x[2],x[3]) for x in results[:max_results]]
except:
log.err()
return lookups
def __init__(
self, latin="", ka="", zoku="", romaji="", kana="", rarity=3, display_name="", masuda=None, takatsu=None
):
kana = try_unicode(kana)
if not romaji and kana:
romaji = romkan.to_roma(kana).replace("n'", "nn")
elif not kana and romaji:
kana = romkan.to_kana(romaji)
self.romaji = romaji
self.kana = kana
self.masuda = masuda if masuda else []
self.takatsu = takatsu if takatsu else []
self.latin = latin if latin else ""
self.ka = ka if ka else ""
self.zoku = zoku if zoku else ""
self.rarity = rarity if rarity else 3
self.display_name = display_name if display_name else self.kana
def command_ja(self, event):
'''Usage: ~ja <k/h/r> <arg> displays katakana/hiragana/romaji for a given argument, converting between romaji and kana'''
try:
dest, phrase = event.params.split(' ', 1)
dest = dest.lower()
if dest == 'k':
resp = romkan.to_katakana(phrase)
elif dest == 'h':
resp = romkan.to_hiragana(phrase)
elif dest == 'r':
resp = romkan.to_roma(phrase.decode('utf-8'))
else:
raise
self.send_message(event.respond, resp)
except:
self.send_message(event.respond, 'Invalid input, please check syntax.')
raise
def command_ja(self, event):
'''Usage: ~ja <k/h/r> <arg> displays katakana/hiragana/romaji for a given argument, converting between romaji and kana'''
try:
dest, phrase = event.params.split(' ', 1)
dest = dest.lower()
if dest == 'k':
resp = romkan.to_katakana(phrase)
elif dest == 'h':
resp = romkan.to_hiragana(phrase)
elif dest == 'r':
resp = romkan.to_roma(phrase.decode('utf-8'))
else:
raise
self.send_message(event.respond, resp)
except:
self.send_message(event.respond, 'Invalid input, please check syntax.')
raise
def main(SMecabCorpusDir,
HomStats,
Model,
ModelType='cbow',
Window=5,
UpToPercent=None,
OutDir=None,
DoRTextP=True):
OutFNStem = os.path.basename(SMecabCorpusDir) + '_contexts_mvecs'
OutFN = OutFNStem + '_' + ModelType + '.json'
PickedTokenStatsFN = OutFNStem + '_pickedtokenstats.pickle'
OutJsonFP, PickedTokenStatsFP = [
(SMecabCorpusDir if OutDir is None else OutDir) + '/' + FN
for FN in (OutFN, PickedTokenStatsFN)
]
# print('finding mean vectors for contexts...')
myModule.ask_filenoexist_execute(
[OutJsonFP, PickedTokenStatsFP], get_homs_contexts_mvecs,
([SMecabCorpusDir, HomStats, Model, Window], {
'OutJsonFP': OutJsonFP
}))
if DoRTextP:
TxtDir = os.path.join(os.path.dirname(OutJsonFP),
OutFNStem + '_txtfiles')
if not os.path.isdir(TxtDir):
os.mkdir(TxtDir)
SortedP = json_sorted_p(OutJsonFP)
HomsOrthsCnts = myModule.load_pickle(PickedTokenStatsFP)
HomsCnts = sorted([(Hom, sum(OrthsCnts.values()))
for (Hom, OrthsCnts) in HomsOrthsCnts.items()])
CntSoFar = 0
for Cntr, (Hom, Cnt) in enumerate(HomsCnts):
if Cntr > 1000:
break
OrthsVecs = get_hom_in_file(Hom,
OutJsonFP,
FstPosition=CntSoFar,
AssumeSortedP=SortedP)
RomHom = romkan.to_roma(Hom)
OutHomFP = os.path.join(TxtDir, 'homvecs_' + RomHom)
with open(OutHomFP, 'wt') as FSw:
FSw.write(stringify_hom_vecs(OrthsVecs))
CntSoFar += Cnt
def create_parts(self, sentence, romas):
func = "_noname_"
analyzer = CaboChaAnalyzer()
tree = analyzer.parse(sentence)
l = []
mainPart = 0
for chunk in tree:
for token in chunk:
kan = token.feature.split(',')[-2]
if kan == '*':
kan = token.surface
romas.append(romkan.to_roma(kan))
if chunk.link == -1:
mainPart = chunk.id
func = self.get_first_token(chunk)
for chunk in tree:
curword = chunk.tokens[0].surface
curfeature = chunk.tokens[0].feature
feat = self.analyse_feature(curfeature)
if feat == '@num' or feat == '@n':
curword = self.join_tokens(chunk)
elif feat == '@nc':
curword = self.join_nc_tokens(chunk)
elif feat == '@v':
parts = curfeature.split(',')
raw = parts[-3]
if raw != '*':
curword = raw
## main part
if chunk.link == -1:
prefix = ""
if feat == '@v':
prefix = "act:"
elif feat == '@adj':
prefix = "desc:"
elif feat == '@n':
prefix = "prop:"
l.append(prefix + "*" + curword + feat)
elif chunk.link == mainPart:
l.append(self.get_prefix(chunk) + "+" + curword + feat)
else:
l.append("." + curword + feat)
result = func + '(' + ", ".join(l) + ')'
return result
def hiragana_candidates(word, num):
if not isinstance(word, unicode): #unicode check
word = word.decode("utf8")
romaji = unicodedata.normalize("NFKC", romkan.to_roma(word))
print "romaji:{}".format(romaji)
candidates = prob(romaji) + edit1_prob(romaji) + edit2_prob(romaji)
if candidates:
for i, word_prob_tuple in enumerate(
sorted(candidates, key=lambda x: x[1], reverse=True)[:num]):
romaji = word_prob_tuple[0]
p = word_prob_tuple[1]
kana = romkan.to_hiragana(romaji).encode("utf8")
print " {} : {:<10}{:<20} {:<}".format(i + 1, kana,
"(" + romaji + ")", p)
else:
print "NO RESULT"
def getSongTitle(url): print(str(datetime.now()), ": Downloading song page", url) r = requests.get(url).text # Parse these formats, regardless of whitespace: # > 01 SONGNAME # > 1 SONGNAME # > 1. SONGNAME # > 01. SONGNAME # TODO: super fragile, replace with something more robust try: name = regex.findall(r'(?<=>[\s0]*1[.\s]+).+?(?=<)', r)[0] except Exception as e: print(url, e) name = "Unparsed" name = html.unescape(name.strip()) name = romkan.to_roma(name) return name
def findMatch(line): words = phrases.splitWord(line) alphabets = phrases.get_english_phrase(words) nonalphabets = phrases.generate_katakana_phrase(words) romanized = [] for nonalphabet in nonalphabets: romanized.append(romkan.to_roma(nonalphabet)) dim = (len(alphabets), len(romanized)) similarity = numpy.zeros(dim) for i in range(len(alphabets)): for j in range(len(romanized)): similarity[i][j] = distance.euclidean(vectorize(alphabets[i]),vectorize(romanized[j])) ans = [] if dim[1] > 0: for i in range(dim[0]): if min(similarity[i,:]) < 0.5: j = numpy.argmin(similarity[i,:]) ans.append((alphabets[i],nonalphabets[j], line)) return ans
def findMatch(line):
words = phrases.splitWord(line)
alphabets = phrases.get_english_phrase(words)
nonalphabets = phrases.generate_katakana_phrase(words)
romanized = []
for nonalphabet in nonalphabets:
romanized.append(romkan.to_roma(nonalphabet))
dim = (len(alphabets), len(romanized))
similarity = numpy.zeros(dim)
for i in range(len(alphabets)):
for j in range(len(romanized)):
similarity[i][j] = distance.euclidean(vectorize(alphabets[i]),
vectorize(romanized[j]))
ans = []
if dim[1] > 0:
for i in range(dim[0]):
if min(similarity[i, :]) < 0.5:
j = numpy.argmin(similarity[i, :])
ans.append((alphabets[i], nonalphabets[j], line))
return ans
def findMatch(line):
alphabets = []
nonalphabets = []
romanized = []
words = filter(lambda word: word != "" and not re.search(r"\d", word), line.split(" "))
for word in words:
if re.search("[a-zA-Z]", word) and len(word) > 1:
alphabets.append(word)
elif has_katakana(word):
nonalphabets.append(word)
romanized.append(romkan.to_roma(word))
dim = (len(alphabets), len(romanized))
similarity = numpy.zeros(dim)
for i in range(len(alphabets)):
for j in range(len(romanized)):
similarity[i][j] = distance.euclidean(vectorize(alphabets[i]), vectorize(romanized[j]))
ans = []
if dim[1] > 0:
for i in range(dim[0]):
if min(similarity[i, :]) < 0.5:
j = numpy.argmin(similarity[i, :])
ans.append((alphabets[i], nonalphabets[j]))
return ans
def get_path(item_type, file_name=None, data=None):
"""Generates full path for the generated file using configuration
and explicitly specified name or RSS item data. At least one argument
should be specified. @file_name has higher priority during output
path generation.
Arguments:
item_type -- 'post' or 'page'romkan.to_roma(transf.convert('汉字'))
file_name -- explicitly defined correct file name.
data -- preprocessed RSS item data dictionary."""
if not file_name and type(data) is not dict:
raise Exception('File name or RSS item data dict should be defined')
root = conf['dump_path']
root = root.format(date=time.strftime(conf['file_date_fmt']),
year=time.strftime("%Y"),
month=time.strftime("%m"),
day=time.strftime("%d"),
source=os.path.basename(conf['source_file']))
if file_name:
relpath = file_name
else:
transf = CConvert()
name = romkan.to_roma(transf.convert(data.get('title', '').strip()))
name = name or data.get('post_id', UNTITLED)
relpath = get_path_fmt(item_type, data)
field = FIELD_MAP.get('post_date', 'post_date')
post_date = data[field]
relpath = relpath.format(year=time.strftime("%Y", post_date),
month=time.strftime("%m", post_date),
day=time.strftime("%d", post_date),
name=name,
title=name)
return uniquify(os.path.join(os.path.abspath(root), relpath))
def to_hiragana(self):
"""Return the reading as hiragana, even if it's On.
>>> k = Kanji('柔')
>>> r = Reading(k, 'ニュウ')
>>> r.to_hiragana()
'にゅう'
If it's not On, it's imdepotent.
>>> k = Kanji('最')
>>> r = Reading(k, 'もっとも')
>>> r.add_examples('最も')
>>> r.reading
'もっと.も'
>>> r.to_hiragana()
'もっと.も'
"""
if self.kind == 'On':
return(romkan.to_hiragana(romkan.to_roma(self.reading)))
else:
return(self.reading)
correct = roma[:i]
elif i - 1 == current[1]:
current[1] = i
else:
result += "[" + answer[current[0]:(current[1] + 1)] + "]" + answer[(current[1] + 1):i]
correct += " " + roma[current[0]:(current[1] + 1)] + " " + roma[(current[1] + 1):i]
current = [i, i]
if current is not None:
result += "["+answer[current[0]:(current[1]+1)]+"]"+answer[(current[1]+1):]
correct += " "+roma[current[0]:(current[1]+1)]+" " + roma[(current[1]+1):]
return result, correct
while True:
i = random.randint(0, len(words))
to_write = words[i]
roma = romkan.to_roma(to_write).strip()
if mode == 2:
to_write = romkan.to_katakana(roma)+"\n"
tries = 0
while tries < max_tries:
answer = input(to_write+"> ").strip()
if answer == roma:
print("\tcorrect!")
break
else:
print("\tWRONG!")
tries += 1
if tries == max_tries:
errors, correct = find_error(answer, roma)
print("\tAnswer was "+correct+"\n\tYou wrote: "+errors)
def to_romanji(self):
self.lang_mode = 2
for item in self.get_japanese_items():
item.setText(romkan.to_roma(item.text()))
def multiscrape(self, name, shy=False):
if shy and self.config.has_key(name) and self.config[name]['ja']:
return
if name != u'名前' and name != u'ふりがな':
nodes = self.root.xpath("//_:li/_:strong[contains(text(), '%s')]/following-sibling::_:ul/_:li|//_:h4[contains(text(), '%s')]/following-sibling::_:p" % (name, name), namespaces=NS)
else:
nodes = self.root.xpath("//_:h3", namespaces=NS)
if not nodes:
return
iterator = nodes[0].itertext()
val = ''
l = []
while 1:
try:
val = iterator.next()
val = re.sub(u'^[ \r\n]+', '', val)
val = re.sub(u'[ \r\n]+$', '', val)
if val:
l.append(val)
except:
break
val = re.sub('^[ \n]*(.*?)[ \n]*$', '\\1', '\n'.join(l))
val = val.strip()
val = makeHankaku(val)
if name == u'名前':
lst = val.split('\n')
if not self.config.has_key(name):
self.config[name] = {}
self.config[name]['ja'] = lst[0]
elif name == u'ふりがな' and not shy:
if not self.config.has_key(u'名前'):
self.config[u'名前'] = {}
lst = val.split('\n')
if len(lst) > 1:
suzure = lst[1].replace(u' ', '').replace(' ', '')
self.config[u'名前']['kana'] = lst[1]
self.config[u'名前']['en'] = titleCase(lst[1])
self.config[u'並べ替え']['ja'] = romkan.to_katakana(romkan.to_kunrei(suzure))
self.config[u'並べ替え']['en'] = romkan.to_roma(suzure)
else:
self.config[u'名前']['kana'] = ''
elif name == u'所属':
if not self.config.has_key(u'所属'):
self.config[u'所属'] = {}
if self.staffType == 'LS' or self.staffType == 'PRO':
self.config[u'所属']['ja'] = u'法科大学院'
self.config[u'所属']['en'] = 'Law School (professional course)'
elif name == u'役職':
if not self.config.has_key(u'役職'):
self.config[u'役職'] = {}
self.config[u'役職']['ja'] = getPostJapanese(val)
self.config[u'役職']['en'] = getPostEnglish(self.config[u'役職']['ja'])
elif name == u'所属学会':
if not self.config.has_key(u'学会'):
self.config[u'学会'] = {}
if len(val.split('\n')) > 1:
self.config[u'学会']['ja'] = val.split('\n')
else:
self.config[u'学会']['ja'] = val
elif name == u'教員からのメッセージ':
if not self.config.has_key(u'法科大学院メッセージ'):
self.config[u'法科大学院メッセージ'] = {}
self.config[u'法科大学院メッセージ']['ja'] = val.split('\n')
elif name == u'リンク':
for node in nodes:
subnode = node.xpath('.//_:a[@href]', namespaces=NS)
if subnode and len(subnode):
self.config[u'ホームページ']['ja'] = subnode[0].text
self.config[u'ホームページ'][u'リンク'] = subnode[0].attrib['href']
break
else:
if not self.config.has_key(name):
self.config[name] = {}
if len(val.split('\n')) > 1:
self.config[name]['ja'] = val.split('\n')
if name == u'専門分野' and self.config[name]['ja'][0]:
self.config[name]['en'] = fieldsMap[self.config[name]['ja'][0]]
else:
self.config[name]['ja'] = val
if name == u'専門分野' and self.config[name]['ja']:
self.config[name]['en'] = fieldsMap[self.config[name]['ja']]
import re
import romkan
entries = set()
for i, entry in enumerate(open("edict2", encoding="euc-jp")):
if i == 0:
continue
m = re.search("^[^/]*\\[([ぁ-んァ-ン]*)\\]", entry)
if not m:
continue
entries.add(romkan.to_hiragana(romkan.to_roma(m.groups(1)[0])))
w = open("./hira.list", "w")
for e in entries:
w.write(e+"\n")
w.close()
def ship_info():
# open the api_start2.json file
with open("api_start2.json", "r") as f:
json_data = json.load(f)
# open the extra Ship.json file for evasion, LOS, and antisub, and others
# sort by "index" (API ID, not card ID)
with open("Ship.json", "r") as f:
extra_ship_data = sorted(json.load(f), key=lambda k: k['index'])
# loop through and rewrite ship info
ships = json_data['api_data']['api_mst_ship']
new_ships = []
for ship in ships:
# なし (nashi) means Null, an unused ID
if romkan.to_roma(ship['api_name']) == "nashi":
ships.remove(ship)
continue
# renaming keys: based on: https://kancolletool.github.io/docs/api/
mvk(ship, 'api_sortno', 'id') # use card number as apparent ID
mvk(ship, 'api_id', 'api_id') # use API number as primary ID
mvk(ship, 'api_name', 'name')
mvk(ship, 'api_yomi', 'kana')
# don't create romanizations of ships without kana
if ship['kana'] != "":
ship['name_roma'] = romkan.to_roma(ship['kana'])
else:
ship['name_roma'] = ""
mvk(ship, 'api_stype', 'ship_class')
mvk(ship, 'api_afterlv', 'remodel_min_lv')
mvk(ship, 'api_aftershipid', 'remodel_ship_id')
ship['remodel_ship_id'] = int(ship['remodel_ship_id'])
# split up (base, max) stats
sbm(ship, 'api_taik', 'hp')
sbm(ship, 'api_souk', 'armor')
sbm(ship, 'api_houg', 'firepower')
sbm(ship, 'api_raig', 'torpedo')
sbm(ship, 'api_tyku', 'antiair')
sbm(ship, 'api_luck', 'luck')
# derived variables from Ship.json
# look through extra_ship_data for matching index, then grab data from there
found = False
for extra_ship in extra_ship_data:
if (extra_ship['index'] == ship['api_id']):
# ASW: Anti-sub
ship['antisub'] = extra_ship['antisub']
# LOS: line-of-sight
ship['line_of_sight'] = extra_ship['lineOfSight']
# evasion
ship['evasion'] = extra_ship['evasion']
# illustrator
if 'illustrator' in extra_ship.keys():
if extra_ship['illustrator'] != 0:
ship['illustrator'] = extra_ship['illustrator']
else:
ship['illustrator'] = ""
else:
ship['illustrator'] = ""
# seiyuu: voice actor
if 'cv' in extra_ship.keys():
if extra_ship['cv'] != 0:
ship['seiyuu'] = extra_ship['cv']
else:
ship['seiyuu'] = ""
else:
ship['seiyuu'] = ""
# ship found, stop searching
found = True
break
if found == False: # give default values if info not found
ship['antisub'] = 0
ship['line_of_sight'] = 0
ship['evasion'] = 0
ship['illustrator'] = ""
ship['seiyuu'] = ""
#print(ship['api_id'], ship['name_roma'], extra_ship_data[ship['api_id'] - 1])
"""
# optional variables, set to [] or 0 if nonexistent
if 'api_tais' in ship:
sbm(ship, 'api_tais', 'antisub')
else:
ship['antisub'] = [0, 0]
if 'api_saku' in ship:
sbm(ship, 'api_saku', 'line_of_sight')
else:
ship['line_of_sight'] = [0, 0]
if 'api_kaih' in ship:
sbm(ship, 'api_kaih', 'evasion')
else:
ship['evasion'] = [0, 0]
"""
mvk(ship, 'api_leng', 'range')
mvk(ship, 'api_slot_num', 'equip_slots')
mvk(ship, 'api_buildtime', 'build_time')
mvk(ship, 'api_broken', 'scrap_value')
mvk(ship, 'api_powup', 'feed_value') # stat power ups when fed for modernization
mvk(ship, 'api_backs', 'rarity')
mvk(ship, 'api_getmes', 'get_message')
mvk(ship, 'api_afterfuel', 'remodel_fuel_cost') # apparently this is steel not fuel. The kancolle devs themselves may have misspelled it and neglected to fix it.
mvk(ship, 'api_afterbull', 'remodel_ammo_cost')
mvk(ship, 'api_fuel_max', 'max_fuel')
mvk(ship, 'api_bull_max', 'max_ammo')
mvk(ship, 'api_voicef', 'extra_voice_clips')
# carrier data
mvk(ship, 'api_maxeq', 'plane_capacity')
# add to new JSON array
new_ships.append(ship)
return json.dumps(new_ships, indent=2, ensure_ascii=False)
def hira_toroma(word):
return unicodedata.normalize("NFKC",romkan.to_roma(word.decode("utf8")))
def conv_line(line):
try:
return sub3(',', sub2('.', sub('', romkan.to_kunrei(romkan.to_roma(unicode(line, ('utf8'))).encode('utf8')))))
except:
return ''
import psycopg2
execfile('jsonify.py')
f = open('pwd.txt')
user = f.readline().strip()
pwd = f.readline().strip()
f.close
#ships = master ship list
connect_name = "dbname='kancolle' user='******' host='localhost' password='******'"
conn = psycopg2.connect(connect_name)
cur = conn.cursor()
stypes = final['api_mst_stype']
for ind in range(0,383):
idnum = ships[ind]['api_id']
sortno = ships[ind]['api_sortno']
name = ships[ind]['api_name']
yomi = ships[ind]['api_yomi']
eego = romkan.to_roma(yomi)
classind = ships[ind]['api_stype']-1
print 'INSERTING: ', idnum,' ', name
if classind == 7:
shipclass = u'\u9ad8\u901f\u6226\u8266'
else:
shipclass = stypes[classind]['api_name']
cur.execute('insert into kanmusu values(%s,%s,%s,%s,%s,%s);',(idnum,name,yomi,eego,sortno,shipclass))
conn.commit()
cur.close()
conn.close()
def _to_romaji(self):
return romkan.to_roma(self.word.decode("utf-8"))
def to_romaji(word):
"""Convert a Japanese word in hiragana or katakana to romaji. """
return romkan.to_roma(hiragana_to_katakana(word))
# print >>f, cleanedWord
kanji = cleanedWord
# meaning = getMeaning(cleanedWord,f)
# print >>f, meaning
if i==1:
hiragana = cleanedWord
if "（" in hiragana or "）" or "、" or "・" in hiragana:
hiragana = ""
kanji=""
i = i+1
if not(hiragana == "" and kanji == ""):
print >>f, "<tr>"
romaji = romkan.to_roma(hiragana.decode("utf-8"))
if kanji =="":
meaning = getMeaning(hiragana)
else:
meaning = getMeaning(kanji)
print >>f, "<td>" + kanji + "</td>"
print >>f, "<td>" + hiragana + "</td>"
print >>f, "<td>" + romaji + "</td>"
print >>f, "<td>" + meaning + "</td>"
print >>f, "</tr>"
print >>f , "</table>"
f.close()
def multiscrape(self, name, shy=False):
if shy and self.config.has_key(name) and self.config[name]['ja']:
return
if name != u'名前' and name != u'ふりがな':
nodes = self.root.xpath("//_:h4[contains(text(), '%s')]/following-sibling::_:p" % name, namespaces=NS)
else:
nodes = self.root.xpath("//_:h3", namespaces=NS)
if not nodes:
return
iterator = nodes[0].itertext()
val = ''
l = []
while 1:
try:
val = iterator.next()
val = re.sub(u'^[ \r\n]+', '', val)
val = re.sub(u'[ \r\n]+$', '', val)
if val:
l.append(val)
except:
break
val = re.sub('^[ \n]*(.*?)[ \n]*$', '\\1', '\n'.join(l))
val = val.strip()
val = makeHankaku(val)
if name == u'名前':
lst = val.split('\n')
if not self.config.has_key(name):
self.config[name] = {}
self.config[name]['ja'] = lst[0]
elif name == u'ふりがな' and not shy:
if not self.config.has_key(u'名前'):
self.config[u'名前'] = {}
lst = val.split('\n')
if len(lst) > 1:
suzure = lst[1].replace(u' ', '').replace(' ', '')
self.config[u'名前']['kana'] = lst[1]
self.config[u'名前']['en'] = titleCase(romkan.to_hepburn(lst[1].replace(u' ', ' ')))
self.config[u'並べ替え']['ja'] = romkan.to_katakana(romkan.to_kunrei(suzure))
self.config[u'並べ替え']['en'] = romkan.to_roma(suzure)
else:
self.config[u'名前']['kana'] = ''
elif name == u'教員からのメッセージ':
if not self.config.has_key(u'学部メセージ'):
self.config[u'学部メッセージ'] = {}
self.config[u'学部メッセージ']['ja'] = val.split('\n')
elif name == u'役職':
if not self.config.has_key(u'役職'):
self.config[u'役職'] = {}
self.config[u'役職']['ja'] = getPostJapanese(val)
self.config[u'役職']['en'] = getPostEnglish(self.config[u'役職']['ja'])
elif name == u'主要':
if len(val.split('\n')) > 1:
self.config[u'主要業績']['ja'] = val.split('\n')
else:
self.config[u'主要業績']['ja'] = val
else:
if not self.config.has_key(name):
self.config[name] = {}
if len(val.split('\n')) > 1:
self.config[name]['ja'] = val.split('\n')
if name == u'専門分野' and self.config[name]['ja'][0]:
self.config[name]['en'] = fieldsMap[self.config[name]['ja'][0]]
else:
self.config[name]['ja'] = val
if name == u'専門分野' and self.config[name]['ja']:
self.config[name]['en'] = fieldsMap[self.config[name]['ja']]
playlist_tracks = []
for raw_info in playlist_track_infos:
info = raw_info.split('!MAESTRO!')
track_artist = info[0]
track_name = info[1]
album_name = info[2]
track_id = info[3]
playlist_tracks.append({"artist": track_artist, "name": track_name, "album": album_name, "track_id": track_id})
for track in playlist_tracks:
match_in_name = handler.query.lower() in track["name"].lower()
match_in_artist = handler.query.lower() in track["artist"].lower()
match_in_album = handler.query.lower() in track["album"].lower()
match_in_name_kana = handler.query.lower() in romkan.to_roma(unicode(track["name"], "utf-8"))
match_in_artist_kana = handler.query.lower() in romkan.to_roma(unicode(track["artist"], "utf-8"))
match_in_album_kana = handler.query.lower() in romkan.to_roma(unicode(track["album"], "utf-8"))
if match_in_name or match_in_artist or match_in_album or match_in_name_kana or match_in_artist_kana or match_in_album_kana:
subtitle = None
if len(track["album"]) > 0:
subtitle = "%s [%s]" % (track["artist"], track["album"])
else:
subtitle = track["artist"]
handler.add_new_item(title=track["name"], subtitle=subtitle, arg=track["track_id"], icon=get_artwork(track["name"]))
anything_matched = True
except:
pass