Configure the Stanford segmenter for NLTK

>>> from nltk.tokenize.stanford_segmenter import StanfordSegmenter
>>> segmenter = StanfordSegmenter(path_to_jar=‘stanford-segmenter-3.8.0.jar‘, path_to_sihan_corpora_dict=‘./data‘, path_to_model=‘./data/pku.gz‘, path_to_dict=‘./data/dict-chris6.ser.gz‘)
>>> sentence = u‘这是斯坦福中文分词器测试‘
>>> segmenter.segment(sentence)
u‘\u8fd9 \u662f \u65af\u5766\u798f \u4e2d\u6587 \u5206\u8bcd\u5668 \u6d4b\u8bd5\n‘
>>> segmenter.segment_file(‘test.simp.utf8‘)
u‘\u9762\u5bf9 \u65b0 \u4e16\u7eaa \uff0c \u4e16\u754c \u5404\u56fd \u4eba\u6c11 \u7684 \u5171\u540c \u613f\u671b \u662f \uff1a \u7ee7\u7eed \u53d1\u5c55 \u4eba\u7c7b \u4ee5\u5f80 \u521b\u9020 \u7684 \u4e00\u5207 \u6587\u660e \u6210\u679c \uff0c \u514b\u670d 20 \u4e16\u7eaa \u56f0\u6270 \u7740 \u4eba\u7c7b \u7684 \u6218\u4e89 \u548c \u8d2b\u56f0 \u95ee\u9898 \uff0c \u63a8\u8fdb \u548c\u5e73 \u4e0e \u53d1\u5c55 \u7684 \u5d07\u9ad8 \u4e8b\u4e1a \uff0c \u521b\u9020 \u4e00\u4e2a \u7f8e\u597d \u7684 \u4e16\u754c \u3002\n‘
>>> outfile = open(‘outfile‘, ‘w‘)
>>> result = segmenter.segment(sentence)
>>> outfile.write(result.encode(‘UTF-8‘))
>>> outfile.close()