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Python DependencyGraph.load方法代码示例

本文整理汇总了Python中nltk.parse.dependencygraph.DependencyGraph.load方法的典型用法代码示例。如果您正苦于以下问题:Python DependencyGraph.load方法的具体用法?Python DependencyGraph.load怎么用?Python DependencyGraph.load使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在nltk.parse.dependencygraph.DependencyGraph的用法示例。


在下文中一共展示了DependencyGraph.load方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: tagged_parse_sents

# 需要导入模块: from nltk.parse.dependencygraph import DependencyGraph [as 别名]
# 或者: from nltk.parse.dependencygraph.DependencyGraph import load [as 别名]
    def tagged_parse_sents(self, sentences, verbose=False):
        """
        Use MaltParser to parse multiple sentences. Takes multiple sentences
        where each sentence is a list of (word, tag) tuples.
        The sentences must have already been tokenized and tagged.

        :param sentences: Input sentences to parse
        :type sentence: list(list(tuple(str, str)))
        :return: iter(iter(``DependencyGraph``)) the dependency graph representation
                 of each sentence
        """

        if not self._malt_bin:
            raise Exception("MaltParser location is not configured.  Call config_malt() first.")
        if not self._trained:
            raise Exception("Parser has not been trained.  Call train() first.")

        input_file = tempfile.NamedTemporaryFile(prefix='malt_input.conll',
                                                 dir=self.working_dir,
                                                 delete=False)
        output_file = tempfile.NamedTemporaryFile(prefix='malt_output.conll',
                                                 dir=self.working_dir,
                                                 delete=False)

        try:
            for sentence in sentences:
                for (i, (word, tag)) in enumerate(sentence, start=1):
                    input_str = '%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n' %\
                        (i, word, '_', tag, tag, '_', '0', 'a', '_', '_')
                    input_file.write(input_str.encode("utf8"))
                input_file.write(b'\n\n')
            input_file.close()

            cmd = ['java'] + self.additional_java_args + ['-jar', self._malt_bin,
                   '-w', self.working_dir,
                   '-c', self.mco, '-i', input_file.name,
                   '-o', output_file.name, '-m', 'parse']

            ret = self._execute(cmd, verbose)
            if ret != 0:
                raise Exception("MaltParser parsing (%s) failed with exit "
                                "code %d" % (' '.join(cmd), ret))

            # Must return iter(iter(Tree))
            return (iter([dep_graph]) for dep_graph in  DependencyGraph.load(output_file.name))
        finally:
            input_file.close()
            os.remove(input_file.name)
            output_file.close()
            os.remove(output_file.name)
开发者ID:Kappie,项目名称:support_vector_machine,代码行数:52,代码来源:malt.py

示例2: tagged_parse

# 需要导入模块: from nltk.parse.dependencygraph import DependencyGraph [as 别名]
# 或者: from nltk.parse.dependencygraph.DependencyGraph import load [as 别名]
    def tagged_parse(self, sentence, verbose=False):
        """
        Use MaltParser to parse a sentence. Takes a sentence as a list of
        (word, tag) tuples; the sentence must have already been tokenized and
        tagged.

        :param sentence: Input sentence to parse
        :type sentence: list(tuple(str, str))
        :return: ``DependencyGraph`` the dependency graph representation of the sentence
        """

        if not self._malt_bin:
            raise Exception("MaltParser location is not configured.  Call config_malt() first.")
        if not self._trained:
            raise Exception("Parser has not been trained.  Call train() first.")

        input_file = tempfile.NamedTemporaryFile(prefix='malt_input.conll',
                                                 dir=self.working_dir,
                                                 delete=False)
        output_file = tempfile.NamedTemporaryFile(prefix='malt_output.conll',
                                                 dir=self.working_dir,
                                                 delete=False)

        try:
            for (i, (word, tag)) in enumerate(sentence, start=1):
                input_file.write('%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n' %
                        (i, word, '_', tag, tag, '_', '0', 'a', '_', '_'))
            input_file.write('\n')
            input_file.close()

            cmd = ['java', '-jar', self._malt_bin, '-w', self.working_dir,
                   '-c', self.mco, '-i', input_file.name,
                   '-o', output_file.name, '-m', 'parse']

            ret = self._execute(cmd, verbose)
            if ret != 0:
                raise Exception("MaltParser parsing (%s) failed with exit "
                                "code %d" % (' '.join(cmd), ret))

            return DependencyGraph.load(output_file.name)
        finally:
            input_file.close()
            os.remove(input_file.name)
            output_file.close()
            os.remove(output_file.name)
开发者ID:chenhaot,项目名称:nltk,代码行数:47,代码来源:malt.py

示例3: tagged_parse

# 需要导入模块: from nltk.parse.dependencygraph import DependencyGraph [as 别名]
# 或者: from nltk.parse.dependencygraph.DependencyGraph import load [as 别名]
    def tagged_parse(self, sentence, verbose=False):
        """
        Use MaltParser to parse a sentence. Takes a sentence as a list of
        (word, tag) tuples; the sentence must have already been tokenized and
        tagged.
        
        :param sentence: Input sentence to parse
        :type sentence: L{list} of (word, tag) L{tuple}s.
        :return: C{DependencyGraph} the dependency graph representation of the sentence
        """

        if not self._malt_bin:
            raise Exception("MaltParser location is not configured.  Call config_malt() first.")
        if not self._trained:
            raise Exception("Parser has not been trained.  Call train() first.")
            
        input_file = os.path.join(tempfile.gettempdir(), 'malt_input.conll')
        output_file = os.path.join(tempfile.gettempdir(), 'malt_output.conll')
        
        execute_string = 'java -jar %s -w %s -c %s -i %s -o %s -m parse'
        if not verbose:
            execute_string += ' > ' + os.path.join(tempfile.gettempdir(), "malt.out")
        
        f = None
        try:
            f = open(input_file, 'w')

            for (i, (word,tag)) in enumerate(sentence):
                f.write('%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n' % 
                        (i+1, word, '_', tag, tag, '_', '0', 'a', '_', '_'))
            f.write('\n')
            f.close()
        
            cmd = ['java', '-jar %s' % self._malt_bin, '-w %s' % tempfile.gettempdir(), 
                   '-c %s' % self.mco, '-i %s' % input_file, '-o %s' % output_file, '-m parse']

            self._execute(cmd, 'parse', verbose)
            
            return DependencyGraph.load(output_file)
        finally:
            if f: f.close()
开发者ID:approximatelylinear,项目名称:nltk,代码行数:43,代码来源:malt.py


注:本文中的nltk.parse.dependencygraph.DependencyGraph.load方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。