def replace_alphabet_morphs(li, nabcc=False):
# アルファベットまたは記号だけで表記されている語を結合する
# 情報処理点字の部分文字列になる記号を前後にまとめる
# input:
# Ｂ,B,記号,アルファベット,*,*,ビー,ビー,1/2,B
# ａｓｉ,asi,名詞,一般,*,*,アシー,アシー,0/3,asi
# ｃ,c,記号,アルファベット,*,*,シー,シー,1/2,c
# output:
# Ｂａｓｉｃ,Basic,名詞,アルファベット,*,*,ビーアシーシー,ビーアシーシー,1/2,Basic
new_li = []
alp_morphs = []
for pos in xrange(len(li)):
mo = li[pos]
if pos < len(li) - 1:
next_mo = li[pos + 1]
else:
next_mo = None
if is_alpha_or_single(mo.nhyouki):
alp_morphs.append(mo)
elif mo.nhyouki and mo.nhyouki in r',+@/#$%&*;<':
alp_morphs.append(mo)
elif mo.nhyouki == '\\':
alp_morphs.append(mo)
elif mo.nhyouki and mo.nhyouki[0] in r',+@/#$%&*;' and \
RE_ASCII_SYMBOLS.match(mo.nhyouki):
alp_morphs.append(mo)
elif alp_morphs and mo.nhyouki in ',.' and \
((next_mo and next_mo.nhyouki == ' ') or \
(next_mo and next_mo.hinshi1 in ('助詞', '助動詞')) or \
(not next_mo)):
alp_morphs.append(mo)
elif alp_morphs and mo.nhyouki == ' ' and \
next_mo and is_alpha_or_single(next_mo.nhyouki):
alp_morphs.append(mo)
elif alp_morphs and mo.nhyouki.isdigit():
alp_morphs.append(mo)
elif alp_morphs and mo.nhyouki in ',.:;!?@#\\$%&*|+-/=<>"\'^`_~{}[]，':
alp_morphs.append(mo)
elif nabcc and mo.nhyouki in '”’‘＿':
alp_morphs.append(mo)
elif not alp_morphs and mo.nhyouki in '[]':
alp_morphs.append(mo)
else:
if alp_morphs:
m = concatinate_morphs(alp_morphs)
m.nhyouki = m.output = unicode_normalize(m.nhyouki)
set_pos_of_alphabets(m)
new_li.append(m)
alp_morphs = []
new_li.append(mo)
if alp_morphs:
m = concatinate_morphs(alp_morphs)
m.nhyouki = m.output = unicode_normalize(m.nhyouki)
set_pos_of_alphabets(m)
new_li.append(m)
return new_li
def getKanaFromRoma(roma):
kana = unicode_normalize(roma)
if kana in ("youtube",):
return None
for item in romadic:
kana = kana.replace(item[0], item[1])
if all([re.search("[ァ-ヾ]", c) for c in kana]):
return kana
return None
def replace_morphs(li, dic): new_li = [] for mo in li: if mo.hyouki in dic.keys(): new_morphs = dic[mo.hyouki] for i in new_morphs: m = copy.deepcopy(mo) m.hyouki = i[0] # に m.nhyouki = unicode_normalize(i[0]) # に if i[3]: m.hinshi1 = i[3] if i[4]: m.hinshi2 = i[4] if i[5]: m.hinshi3 = i[5] m.kana = i[0] m.output = m.yomi = unicode_normalize(i[1]) # ニ m.accent = i[2] # 0/1 new_li.append(m) else: new_li.append(mo) return new_li
def replace_digit_morphs(li):
# handle digit number kanji characters
# input:
# 十,名詞,数
# 七,名詞,数
# output:
# 十七,名詞,数
# input:
# 二,名詞,数
# 十,名詞,数
# 五,名詞,数
# output:
# 二十五,名詞,数
# input:
# 三,名詞,数,*,*,*,*,三,サン,サン,0/2,C3
# 兆,名詞,数,*,*,*,*,兆,チョウ,チョー,1/2,C3
# 二,名詞,数,*,*,*,*,二,ニ,ニ,1/1,C3
# 千,名詞,数,*,*,*,*,千,セン,セン,1/2,C3
# 四,名詞,数,*,*,*,*,四,ヨン,ヨン,1/2,C1
# 百,名詞,数,*,*,*,*,百,ヒャク,ヒャク,2/2,C3
# 万,名詞,数,*,*,*,*,万,マン,マン,1/2,C3
# output:
# 三,三,名詞,数,*,*,サン,サン,,サン,0
# 兆,兆,名詞,数,*,*,チョー,チョー,,チョー,0
# 二千四百,二千四百,名詞,数,*,*,ニセンヨンヒャク,ニセンヨンヒャク,,ニセンヨンヒャク,0
# 万,万,名詞,数,*,*,マン,マン,,マン,0
# (correct: 3チョー 2400マン)
new_li = []
num_morphs = []
for mo in li:
if mo.hinshi2 == '数' and mo.hyouki == '，' and num_morphs:
# カンマ
new_li.append(concatinate_morphs(num_morphs))
m = copy.deepcopy(mo)
m.yomi = m.output = ','
new_li.append(concatinate_morphs([m]))
num_morphs = []
elif mo.hinshi2 == '数' and not mo.output.isdigit() and \
not mo.hyouki in ('・', '万', '億', '兆', '京', '．'):
# 漢数字の結合
num_morphs.append(mo)
elif mo.hinshi2 == '数' and mo.hyouki in '０１２３４５６７８９':
# 算用数字の結合
m = copy.deepcopy(mo)
y = unicode_normalize(m.hyouki)
m.output = m.hyouki = m.nhyouki = m.yomi = y
num_morphs.append(m)
else:
if num_morphs:
new_li.append(concatinate_morphs(num_morphs))
num_morphs = []
new_li.append(mo)
if num_morphs:
new_li.append(concatinate_morphs(num_morphs))
return new_li
def runTasks():
jtalkPrepare.setup()
count = 0
for item in tests:
msg = item[0]
msg = unicode_normalize(msg)
s = jtalkPrepare.convert(msg)
if item[1] != s:
_print("expected:%s result:%s" % (item[1], s))
count += 1
return count
def runTasks():
jtalkPrepare.setup()
count = 0
for item in tests:
msg = item[0]
normalized = unicode_normalize(msg)
s = jtalkPrepare.convert(normalized)
if item[1] != s:
_print('input:%s normalized:%s result:%s expected:%s' % (msg, normalized, s, item[1]))
count += 1
return count
def mecab_to_morphs(mf):
li = []
if mf is None or mf.feature is None or mf.size is None:
return li
for i in xrange(0, mf.size):
s = string_at(mf.feature[i])
if s:
s = s.decode(CODE, 'ignore')
ar = s.split(",")
mo = MecabMorph()
mo.hyouki = ar[0]
mo.nhyouki = unicode_normalize(ar[0])
mo.hinshi1 = ar[1]
mo.hinshi2 = ar[2]
if len(ar) > 3:
mo.hinshi3 = ar[3]
mo.hinshi4 = ar[4]
if len(ar) > 5:
mo.type1 = ar[5]
if len(ar) > 6:
mo.type2 = ar[6]
if len(ar) > 7:
mo.kihon = ar[7]
if len(ar) > 9:
mo.kana = unicode_normalize(ar[8]) # "（ニチ）" -> "(ニチ)"
# ありがとうございますー,感動詞,*,*,*,*,*,ありがとうございますー,アリガトウゴザイマスー,アリガトーゴザイマス’ー,0/1,C0
mo.yomi = unicode_normalize(ar[9]).replace("’", "")
mo.accent = ar[10]
if len(ar) > 12:
# Mecab辞書の拡張フィールドの点訳表記があれば使用する
mo.output = unicode_normalize(ar[12])
else:
mo.output = mo.yomi
update_phonetic_symbols(mo)
mo.sepflag = False
li.append(mo)
return li
def Mecab_get_reading(mf, CODE_=CODE):
reading = ''
braille = ''
for pos in xrange(0, mf.size):
ar = Mecab_getFeature(mf, pos, CODE_=CODE_).split(',')
rd = ''
if len(ar) > 9:
rd = ar[9].replace('\u3000', ' ')
elif ar[0] != 'ー':
rd = unicode_normalize(ar[0])
reading += rd
if len(ar) > 12:
braille += ar[12] + r"/"
else:
braille += rd + r"/"
return (reading, braille.rstrip(r" /"))
def replaceJapaneseFromSpeechSequence(speechSequence): # we don't want to use CharacterMode for replaced Japanese text a = [] charmode = False for item in speechSequence: disableCharMode = False if isinstance(item, basestring): item = unicode_normalize(item) if isJapaneseLang(item): item = replaceJapanese(item) if charmode: disableCharMode = True elif isinstance(item, CharacterModeCommand): cmstate = item.state if disableCharMode: a.append(CharacterModeCommand(False)) a.append(item) if charmode: a.append(CharacterModeCommand(True)) disableCharMode = False else: a.append(item) return a
def japanese_braille_separate(inbuf, logwrite, nabcc=False):
text = inbuf
if RE_HALF_KATAKANA.match(text):
outbuf = text
inpos2 = xrange(len(outbuf))
return (outbuf, inpos2)
if not nabcc and RE_MB_ALPHA_NUM_SPACE.match(text):
outbuf = unicode_normalize(text)
inpos2 = xrange(len(outbuf))
return (outbuf, inpos2)
if not nabcc and is_gaiji(text) and ' ' in text.rstrip():
rspaces = ''
while text[-1] == ' ':
rspaces += ' '
text = text[:-1]
outbuf = '⠦' + unicode_normalize(text) + '⠴' + rspaces
inpos2 = [0] + range(len(outbuf))
inpos2.append(inpos2[-1])
return (outbuf, inpos2)
# 'あ゛ー' Unicode 正規化されて空白が入るので事前に補正する
text = text.replace('あ゛', 'あ')
text = text.replace('ヱ゛', 'ヴェ')
text = text.replace('ヲ゛', 'ヴォ')
text = text.replace('ワ゛', 'ヴァ')
# tab code
text = text.replace('\t', TAB_CODE)
# 'ふにゃ～'
text = text.replace('ゃ～', 'ゃー')
text = text2mecab(text)
mf = MecabFeatures()
Mecab_analysis(text, mf)
Mecab_correctFeatures(mf)
Mecab_print(mf, logwrite, output_header = False)
li = mecab_to_morphs(mf)
mf = None
for mo in li:
if TAB_CODE in mo.nhyouki:
mo.hinshi1 = '記号'
#mo.hinshi2 = '空白'
mo.kana = mo.yomi = mo.output = mo.nhyouki
for mo in li:
if mo.hinshi1 == '空白':
mo.output = ' '
elif mo.hinshi2 == '数' and mo.nhyouki.isdigit():
# digit numbers (not kanji characters)
mo.output = mo.nhyouki
li = replace_morphs(li, CONNECTED_MORPHS)
# before:
# たー,たー,助動詞,*,*,*,*,*,たー,ター,ター,1/2,ター,0
# ー,ー,名詞,一般,*,*,*,*,*,,,,,0
# after:
# た,た,助動詞,*,*,*,*,*,た,タ,タ,1/2,タ,0
# ー,ー,名詞,一般,*,*,*,*,*,,,,ー,0
# before: ３ー,名詞,数,*,*,*,*,３ー,サンー,サンー,1/3,C0
# after: ３,名詞,数,*,*,*,*,３,サン,サン,1/3,C0
for pos in xrange(len(li) - 1):
mo = li[pos]
mo2 = li[pos + 1]
if 'ー' in mo.hyouki and mo2.hyouki == 'ー':
mo.hyouki = mo.kihon = mo.hyouki.replace('ー','')
mo.nhyouki = unicode_normalize(mo.hyouki)
mo.kana = mo.kana.replace('ー','')
mo.yomi = mo.yomi.replace('ー','')
if mo.hinshi2 == '数':
mo.output = mo.nhyouki
else:
mo.output = mo.yomi
# 動詞のウ音便
# before:
# 思う,思う,動詞,自立,*,*,五段・ワ行ウ音便,連用タ接続,思う,オモウ,オモウ,2/3,オモウ,0
# て,て,助詞,接続助詞,*,*,*,*,て,テ,テ,0/1,テ,0
# after:
# 思う,思う,動詞,自立,*,*,五段・ワ行ウ音便,連用タ接続,思う,オモウ,オモウ,2/3,オモー,0
# て,て,助詞,接続助詞,*,*,*,*,て,テ,テ,0/1,テ,0
for pos in xrange(len(li) - 1):
mo = li[pos]
mo2 = li[pos + 1]
if mo.hinshi1 == '動詞' and mo.hyouki != '言う' and len(mo.yomi) > 1 and mo.yomi[-1] == 'ウ' and mo2.yomi[:1] in ('タ', 'テ'):
mo.output = mo.yomi[:-1] + 'ー'
li = replace_digit_morphs(li)
li = rewrite_number(li, logwrite)
# before: う,う,助動詞,*,*,*,ウ,ウ,0/1,ウ,0
# after: う,う,助動詞,*,*,*,ウ,ウ,0/1,ー,0
for mo in li:
if mo.hyouki == 'う' and mo.hinshi1 == '助動詞':
mo.output = 'ー'
# before: ａ,a,記号,アルファベット,*,*,エイ,エイ,1/2,エイ,0
# after: ａ,a,記号,アルファベット,*,*,エイ,エイ,1/2,a,0
for mo in li:
if mo.hinshi2 == 'アルファベット':
mo.output = mo.nhyouki
li = replace_alphabet_morphs(li, nabcc=nabcc)
for mo in li:
if mo.hyouki == '〝':
mo.hinshi1 = '記号'
mo.hinshi2 = '括弧開'
if mo.hyouki == '〟':
mo.hinshi1 = '記号'
mo.hinshi2 = '括弧閉'
if mo.hyouki == '々々々々':
mo.hinshi1 = '記号'
mo.hinshi2 = '一般'
if mo.hyouki == '〻':
# 303b 二の字点（にのじてん）
mo.hinshi1 = '記号'
mo.hinshi2 = '一般'
for mo in li:
if mo.hinshi2 in ('括弧開', '括弧閉'):
mo.output = mo.nhyouki
# before: , ,記号,空白,*,*, , ,*/*, ,0
# after: , ,記号,空白,*,*, , ,*/*, ,0
for mo in li:
if mo.hyouki == ' ': # full shape space
mo.output = ' '
# before: ー,ー,名詞,一般,*,*,*,*,*,,,,,0
# after: ー,ー,名詞,一般,*,*,*,*,*,,,,ー,0
for mo in li:
if mo.hyouki == 'ー' and mo.hinshi1 == '名詞':
mo.hinshi1 = '記号'
mo.output = 'ー'
# 数字の前の全角アポストロフィを半角にする
# before:
# ’,’,記号,括弧閉,*,*,’,’,*/*,’,0
# ０,0,名詞,数,*,*,ゼロ,ゼロ,1/2,0,0
# after:
# ’,’,記号,括弧閉,*,*,’,’,*/*,',0
# ０,0,名詞,数,*,*,ゼロ,ゼロ,1/2,0,0
for pos in xrange(0, len(li) - 1):
if li[pos].hyouki == '’' and li[pos+1].hinshi2 == '数':
li[pos].output = "'"
# 算用数字ではさまれた読点と中点を数符にする
# before:
# 二,二,名詞,数,*,*,2,2,1/2,2,0
# 、,、,記号,読点,*,*,、,、,*/*,、,0
# 三,三,名詞,数,*,*,3,3,1/2,3,0
# after:
# 二,二,名詞,数,*,*,2,2,1/2,2,0
# 、,、,記号,読点,*,*,、,、,*/*,⠼,0
# 三,三,名詞,数,*,*,3,3,1/2,3,0
for pos in xrange(1, len(li) - 1):
if li[pos-1].output.isdigit() and \
li[pos].hyouki in ('、', '・') and \
li[pos+1].output.isdigit():
if nabcc:
li[pos].output = '.'
else:
li[pos].output = '⠼'
# before: ａｂ,ab,名詞,一般,*,*,アブ,アブ,1/2,アブ,0
# after: ａｂ,ab,名詞,一般,*,*,アブ,アブ,1/2,ab,0
# before: Ｎｏ．,No.,接頭詞,数接続,*,*,ナンバー,ナンバー,1/4,ナンバー,0
# after: Ｎｏ．,No.,接頭詞,数接続,*,*,ナンバー,ナンバー,1/4,No.,0
for mo in li:
if RE_ASCII_CHARS.match(mo.nhyouki):
mo.output = mo.nhyouki
# before: ヒロイノ,ヒロイノ,名詞,一般,*,*,,,,,0
# after: ヒロイノ,ヒロイノ,名詞,一般,*,*,,,,ヒロイノ,0
# before: ィ,ィ,名詞,一般,*,*,,,,,0
# after: ィ,ィ,名詞,一般,*,*,,,,ィ,0
# before: ぁ,ぁ,名詞,一般,*,*,,,,,0
# after: ぁ,ぁ,名詞,一般,*,*,,,,ァ,0
for mo in li:
if not mo.output and mo.nhyouki != 'ー':
if RE_KATAKANA.match(mo.nhyouki):
mo.output = mo.nhyouki
elif RE_HIRAGANA.match(mo.nhyouki):
mo.output = ''.join([unichr(ord(c) + 0x60) for c in mo.nhyouki])
# 単語が小文字カタカナのみであれば修正
# 表記は修正せず should_separate() で小文字として判定される
for mo in li:
if mo.output == 'ァ': mo.output = 'ア'
if mo.output == 'ィ': mo.output = 'イ'
if mo.output == 'ゥ': mo.output = 'ウ'
if mo.output == 'ェ': mo.output = 'エ'
if mo.output == 'ォ': mo.output = 'オ'
if mo.output == 'ッ': mo.output = 'ツ'
if mo.output == 'ャ': mo.output = 'ヤ'
if mo.output == 'ュ': mo.output = 'ユ'
if mo.output == 'ョ': mo.output = 'ヨ'
if mo.output == 'ヮ': mo.output = 'ワ'
if mo.output == 'ヵ': mo.output = 'カ'
if mo.output == 'ヶ': mo.output = 'ケ'
# 記号を Unicode 正規化
# 踊り字の処理
for i in xrange(0, len(li)):
mo = li[i]
if mo.hinshi1 == '記号' and mo.hinshi2 == '一般':
if mo.hyouki == '〻':
mo.output = 'ニノジテン'
elif mo.hyouki == 'ゝ' and i > 0:
mo.output = to_no_dakuon_kana(li[i-1].output[-1:])
elif mo.hyouki == 'ゞ' and i > 0:
mo.output = to_dakuon_kana(li[i-1].output[-1:])
elif mo.hyouki == 'ヽ' and i > 0:
mo.output = to_no_dakuon_kana(li[i-1].output[-1:])
elif mo.hyouki == 'ヾ' and i > 0:
mo.output = to_dakuon_kana(li[i-1].output[-1:])
elif mo.hyouki == '々々々々' and i > 0:
mo.output = li[i-1].output * 4
elif mo.hyouki == '々々' and i > 0:
mo.output = li[i-1].output * 2
elif mo.hyouki == '々' and i > 0:
if li[i-1].hyouki[0] == '々' and i > 1:
mo.output = li[i-2].output
elif len(li[i-1].hyouki) == 1:
mo.output = li[i-1].output
else:
mo.output = '' # FIXME
else:
mo.output = mo.nhyouki
if mo.hyouki == '．' and mo.hinshi1 == '名詞' and mo.hinshi2 == '数':
mo.output = '.'
if mo.hyouki == '，' and mo.hinshi1 == '名詞' and mo.hinshi2 == '数':
mo.output = ','
if mo.hinshi1 == '記号' and mo.hinshi2 == '句点' and mo.nhyouki == '.':
mo.output = '.'
if mo.hinshi1 == '記号' and mo.hinshi2 == '読点' and mo.nhyouki == ',':
mo.output = ','
for mo in li:
# 情報処理点字の開始記号と終了記号
if RE_INFOMATION.match(mo.nhyouki) and \
('@' in mo.nhyouki) or ('://' in mo.nhyouki) or ('\\' in mo.nhyouki):
if nabcc:
mo.output = mo.nhyouki
else:
mo.output = '⠠⠦' + mo.nhyouki + '⠠⠴'
# 外国語引用符
# 空白をはさまない1単語は外国語引用符ではなく外字符で
elif (
RE_GAIJI.match(mo.nhyouki) and \
((' ' in mo.nhyouki) or ("'" in mo.nhyouki))
) or (
('.' in mo.nhyouki) and \
len(mo.nhyouki) > 3
):
if nabcc:
mo.output = mo.nhyouki
else:
mo.output = '⠦' + mo.nhyouki + '⠴'
if not nabcc:
for mo in li:
# 情報処理点字でも外国語引用符でもなく output が & を含む場合は前後をあける
if not mo.output.startswith('⠠⠦') and not mo.output.startswith('⠦'):
# &
if mo.output == '&':
continue
# &xx
elif mo.output.startswith('&'):
mo.output = mo.output.replace('&', '& ')
# xx&
elif mo.output.endswith('&'):
mo.output = mo.output.replace('&', ' &')
# xx&xx
else:
mo.output = mo.output.replace('&', ' & ')
if nabcc:
for mo in li:
mo.output = mo.output.replace('”', '"').replace('’', "'").replace('‘', '`')
# 日付の和語読み処理
li = fix_japanese_date_morphs(li)
# 日本語の直後のコンマを '、' で解釈
# before: ，,記号,読点,*,*,*,*,，,，,，,*/*,*
# after: 、,記号,読点,*,*,*,*,、,、,、,*/*,*
for pos in xrange(len(li) - 1):
mo = li[pos]
mo2 = li[pos + 1]
if mo2.hyouki == '，' and not (
mo.hinshi2 in ('アルファベット', '数', '括弧閉')
):
mo2.hyouki = mo2.nhyouki = mo2.output = '、'
# 分かち書き判定
for i in xrange(1, len(li)):
prev2_mo = li[i-2] if i-2 >= 0 else None
prev_mo = li[i-1]
next_mo = li[i+1] if i+1 < len(li) else None
li[i-1].sepflag = should_separate(prev2_mo, prev_mo, li[i], next_mo, nabcc=nabcc, logwrite=logwrite)
# do not translate if string is unicode braille
for i in xrange(0, len(li)):
mo = li[i]
if all((0x2800 <= ord(c) <= 0x28ff or c == '\u3000') for c in mo.hyouki):
mo.output = mo.hyouki.replace('\u3000', ' ')
mo.sepflag = False
if i > 0:
li[i-1].sepflag = False
for mo in li:
mo.write(logwrite)
logwrite('')
outbuf, inpos2 = morphs_to_string(li, inbuf, logwrite)
if nabcc:
outbuf = outbuf.replace(TAB_CODE, '⡀')
else:
outbuf = outbuf.replace(TAB_CODE, ' ')
return (outbuf, inpos2)
