【snownlp相关文件】上传自己的模型，调用utils/mynlp

utils/mynlp/normal/__init__.py

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+# -*- coding: utf-8 -*-
+from __future__ import unicode_literals
+
+import os
+import re
+import codecs
+
+from . import zh
+from . import pinyin
+
+stop_path = os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                         'stopwords.txt')
+pinyin_path = os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                           'pinyin.txt')
+stop = set()
+fr = codecs.open(stop_path, 'r', 'utf-8')
+for word in fr:
+    stop.add(word.strip())
+fr.close()
+pin = pinyin.PinYin(pinyin_path)
+re_zh = re.compile('([\u4E00-\u9FA5]+)')
+
+
+def filter_stop(words):
+    return list(filter(lambda x: x not in stop, words))
+
+
+def zh2hans(sent):
+    return zh.transfer(sent)
+
+
+def get_sentences(doc):
+    line_break = re.compile('[\r\n]')
+    delimiter = re.compile('[，。？！；]')
+    sentences = []
+    for line in line_break.split(doc):
+        line = line.strip()
+        if not line:
+            continue
+        for sent in delimiter.split(line):
+            sent = sent.strip()
+            if not sent:
+                continue
+            sentences.append(sent)
+    return sentences
+
+
+def get_pinyin(sentence):
+    ret = []
+    for s in re_zh.split(sentence):
+        s = s.strip()
+        if not s:
+            continue
+        if re_zh.match(s):
+            ret += pin.get(s)
+        else:
+            for word in s.split():
+                word = word.strip()
+                if word:
+                    ret.append(word)
+    return ret