使用 Python 将斯坦福解析器集成到 NLTK
斯坦福解析器可以在 NLTK 中使用吗？
是的，可以使用 Python 在 NLTK 框架内使用斯坦福解析器。以下 Python 代码片段演示了如何实现此目的：
import os
from nltk.parse import stanford
# Specify paths to Stanford Parser and models
os.environ['STANFORD_PARSER'] = '/path/to/standford/jars'
os.environ['STANFORD_MODELS'] = '/path/to/standford/jars'
# Initialize the Stanford Parser
parser = stanford.StanfordParser(model_path="/location/of/the/englishPCFG.ser.gz")
# Parse a list of sample sentences
sentences = parser.raw_parse_sents(("Hello, My name is Melroy.", "What is your name?"))
print sentences
# Visualize the dependency tree
for line in sentences:
for sentence in line:
sentence.draw()此示例展示了所提供句子的解析依赖树：
[Tree('ROOT', [Tree('S', [Tree('INTJ', [Tree('UH', ['Hello'])]),
Tree(',', [',']), Tree('NP', [Tree('PRP$', ['My']), Tree('NN',
['name'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('ADJP', [Tree('JJ',
['Melroy'])])]), Tree('.', ['.'])])]), Tree('ROOT', [Tree('SBARQ',
[Tree('WHNP', [Tree('WP', ['What'])]), Tree('SQ', [Tree('VBZ',
['is']), Tree('NP', [Tree('PRP$', ['your']), Tree('NN', ['name'])])]),
Tree('.', ['?'])])])}要点：
安装说明：
使用 NLTK v3安装程序：
import nltk nltk.download()
手册安装：
以上是如何在 Python 中将斯坦福解析器与 NLTK 集成？的详细内容。更多信息请关注PHP中文网其他相关文章！
