[来龙去脉]
语料：wiki_zh 1.2GB
词典：74001行 sysdic，其中字约17，000个，来自googlepinyin (不是所有的GB18030汉字都能用UNICODE表示）。
词是googlepinyin+sunpinyin合并去重。
mmseg时只用了字。
118M lm_sc.t3g
This is a 3-gram back-off model, using -log(pr)
1 items in 0-level
10876 items in 1-level
1945235 items in 2-level
12444533 items in 3-level
训练时间：不到半小时。
效果：输入自然流畅。
TODO:
- 往userdict里加词太慢，不断copy数据库，改成加词前自己备份文件，加词时不copy.
- 把县可读xuan之类删掉。
用到的极其乱的程序：
#!/usr/bin/python d = {} def merge_all_w(f, s):d[f[0]] = ' '.join(f[1:])def get_all_g_w(f, s):w = f[0]if len(w) <= 1: returnf[1:] = f[3:]print(' '.join(f))def get_all_s_w(f, s):w = f[0]if len(w) <= 1: returnf[1:] = f[2:]print(' '.join(f))d = {} def get_g_zi (f, s):w = f[0]if len(w) > 1: returnd.setdefault(w, []).append(f[3])d = {} def sort_g_by_freq (f, s): # 按词频降序排列w = f[0]if len(w) <= 1: returnfreq = int(float(f[1]))f[1:] = f[3:]d.setdefault(freq, []).append(' '.join(f))wid = 16563 def get_g_23 (f, s): # 高频词里的二三字词global widxx = len(f[0])if xx != 2 and xx != 3: returnf[1] = str(wid); wid += 1f[2:] = f[3:]print(' '.join(f))def get_s_zi (f, s): # 字if int(f[1]) >= 100 and len(f[0]) == 1:f[1:] = f[2:]; print(' '.join(f))def all_minus_sys(f, s):if not f[0] in st: print(s)def sys_dic_pie(f, s):if int(f[1]) > 100 and len(f[0]) > 1:print(f[0], f[1], "'".join(f[2:]))else: print(s)wid = 58005 def usr_dic_pie(f, s):global widprint(f[0], wid, "'".join(f[1:]))wid += 1def do_ (cb):try:while True: s = input(); cb(s.split(), s)except EOFError: passexcept Exception as e : print('ERROR:', e)do_(usr_dic_pie)''' do_(sys_dic_pie) st = set() for s in open('/t/sysdic', 'r'): st.add(s.split()[0]) do_(all_minus_sys) do_(merge_all_w) for k,v in d.items(): print(f'{k} {v}') do_(get_all_s_w) do_(get_all_g_w) do_(get_g_23) do_(get_g_zi) n = 100 for k,v in d.items(): print(f'{k} {n}', ' '.join(v)); n += 1 #噷 16562 hm do_(sort_g_by_freq) for k in sorted(d.keys(), reverse=True):print('\n'.join(d[k]))do_(get_s_zi) ''' # grep -v '%' 多音字