2

这是我的代码：

def _parse(self, text):
    """
    This is the core interaction with the parser.

    It returns a Python data-structure, while the parse()
    function returns a JSON object
    """

    # CoreNLP interactive shell cannot recognize newline
    if '\n' in text or '\r' in text:
        to_send = re.sub("[\r\n]", " ", text).strip()
    else:
        to_send = text


    self.corenlp.sendline(to_send)
    max_expected_time = max(300.0, len(to_send) / 3.0)

    # repeated_input = self.corenlp.except("\n")  # confirm it
    t = self.corenlp.expect(["\nNLP> ", pexpect.TIMEOUT, pexpect.EOF,
                                 "\nWARNING: Parsing of sentence failed, possibly because of out of memory."],
                                timeout=max_expected_time)
    incoming = self.corenlp.before
    lag = incoming.split(b"\r\n")
    incoming = b"\r\n".join(lag).decode('latin-1').encode('utf-8')
    if t == 1:
        # TIMEOUT, clean up anything left in buffer
        print >>sys.stderr, {'error': "timed out after %f seconds" % max_expected_time,
                                 'input': to_send,
                                 'output': incoming}
        raise TimeoutError("Timed out after %d seconds" % max_expected_time)
    elif t == 2:
                # EOF, probably crash CoreNLP process
        print >>sys.stderr, {'error': "CoreNLP terminates abnormally while parsing",
                                 'input': to_send,
                                 'output': incoming}
        raise ProcessError("CoreNLP process terminates abnormally while parsing")
    elif t == 3:
                # out of memory
        print >>sys.stderr, {'error': "WARNING: Parsing of sentence failed, possibly because of out of memory.",
                                 'input': to_send,
                                 'output': incoming}
        raise OutOfMemoryError

    if VERBOSE:
        print("%s\n%s" % ('=' * 40, incoming))
    try:
        results = parse_parser_results(incoming)
    except ixception as e:
        if VERBOSE:
            print(traceback.format_exc())
        raise e

    self.pre_loaded_analisys_dict[to_send] = results

    with open(self.pre_analysis,"w", encoding = 'utf-8') as f:
        json.dump(self.pre_loaded_analisys_dict,f)

    return results

而且我遇到了这个错误（我正在解析很多术语，这是我第一次遇到这个错误）：

>> 不支持的操作数类型：“builtin_function_or_method”和“_io.TextIOWrapper”

有任何想法吗？

编辑： printint 传入变量我有这个：

b'Q\r\n注释管道计时信息：\r\nTokenizerAnnotator：0.0 秒。\r\nWordsToSentencesAnnotator：0.0 秒。\r\nPOSTaggerAnnotator：0.0 秒。\r\nMorphaAnnotator：0.1 秒。\r\nNERCombinerAnnotator：0.4 秒.\r\n总计：0.6 秒。337 个令牌，速度为 606.1 个令牌/秒。\r\n管道设置：0.0 秒。\r\nStanfordCoreNLP 管道的总时间：138.7 秒。\r\n'

当我应该得到这样的东西时：

b'膝关节挫伤\r\n句子 #1（3 个标记）：\r\n膝关节挫伤\r\n[Text=Contusion CharacterOffsetBegin=0 CharacterOffsetEnd=9 PartOfSpeech=NN Lemma=contusion NamedEntityTag=O] [Text=of CharacterOffsetBegin=10 CharacterOffsetEnd=12 PartOfSpeech=IN Lemma=of NamedEntityTag=O] [Text=knee CharacterOffsetBegin=13 CharacterOffsetEnd=17 PartOfSpeech=NN Lemma=knee NamedEntityTag=O] \r'

4

1 回答 1

6

一个迟来的答案寻找人们遇到此特定错误消息的问题：它表明您正在尝试在 Python 3 中使用 Python 2 样式流重定向，或者from __future__ import print_function在 Python 2.x 中有效。

与其写print >> sys.stderr, expression，不如写print(expression, file=sys.stderr)。

“SyntaxError: Missing parentheses in call to 'print'”在 Python 中是什么意思？提供有关此更改的更多信息。

于 2017-08-19T07:22:11.480 回答