This question already has an answer here: RegEx: Grabbing values between quotation marks 19 answers As Mayur mentioned, you can do a regex to pick up everything between quotes list = re.findall("".*?"", string) The problem you'll run into is that there can be a surprisingly large amount of things between quotation marks that are actually not quotations. If you're doing academic ar
这个问题在这里已经有了答案： RegEx：在引号之间抓取19个答案 正如Mayur所说的，你可以通过一个正则表达式来提取引号之间的所有内容 list = re.findall("".*?"", string) 你会遇到的问题是，实际上不是引号的引号之间会有惊人的大量内容。 如果您正在学术文章，您可以在收盘后查找一个数字来选择脚注编号。 除非有学术文章，也许你可以运行如下的东西： "(said|writes|argues|concludes)(,)? ".?"" 可以更精确，但是
I'm just starting to use NLTK and I don't quite understand how to get a list of words from text. If I use nltk.word_tokenize() , I get a list of words and punctuation. I need only the words instead. How can I get rid of punctuation? Also word_tokenize doesn't work with multiple sentences: dots are added to the last word. Take a look at the other tokenizing options that nltk prov
我刚开始使用NLTK，我不太明白如何从文本中获取单词列表。 如果我使用nltk.word_tokenize() ，我会得到一个单词和标点符号列表。 我只需要改为单词。 我怎样才能摆脱标点符号？ 此外word_tokenize不适用于多个句子：点被添加到最后一个单词。 看看nltk在这里提供的其他标记化选项。 例如，您可以定义一个标记器，用于挑选字母数字字符序列作为标记并删除其他所有内容： from nltk.tokenize import RegexpTokenizer token
I am trying to extract words from a german document, when I use th following method as described in the nltk tutorial, I fail to get the words with language specific special characters. ptcr = nltk.corpus.PlaintextCorpusReader(Corpus, '.*'); words = nltk.Text(ptcr.words(DocumentName)) What should I do to get the list of words in the document? An example with nltk.tokenize.WordPunctTokenizer()
我试图从德语文档中提取单词，当我使用nltk教程中描述的以下方法时，我无法获得具有特定语言特殊字符的单词。 ptcr = nltk.corpus.PlaintextCorpusReader(Corpus, '.*'); words = nltk.Text(ptcr.words(DocumentName)) 我应该如何获取文档中的单词列表？ 用于德语短语Veränderungen über einen Walzer nltk.tokenize.WordPunctTokenizer()的示例如下所示： In [231]: nltk.tokenize.WordPunctTokenizer().tokenize(u"Verände
This is a follow-up of my question. I am using nltk to parse out persons, organizations, and their relationships. Using this example, I was able to create chunks of persons and organizations; however, I am getting an error in the nltk.sem.extract_rel command: AttributeError: 'Tree' object has no attribute 'text' Here is the complete code: import nltk import re #billgatesbio from http://www.
这是我的问题的后续行动。 我正在使用nltk解析出人员，组织及其关系。 通过这个例子，我能够创建大量的人员和组织; 但是，在nltk.sem.extract_rel命令中出现错误： AttributeError: 'Tree' object has no attribute 'text' 以下是完整的代码： import nltk import re #billgatesbio from http://www.reuters.com/finance/stocks/officerProfile?symbol=MSFT.O&officerId=28066 with open('billgatesbio.txt', 'r') as f
I reckoned that often the answer to my title is to go and read the documentations, but I ran through the NLTK book but it doesn't give the answer. I'm kind of new to python. I have a bunch of .txt files and I want to be able to use the corpus functions that NLTK provides for the corpus nltk_data . I've tried PlaintextCorpusReader but I couldn't get further than: >>>
我认为我的标题的答案往往是去阅读文件，但我跑过NLTK书，但它没有给出答案。 我对python很陌生。 我有一堆.txt文件，我希望能够使用NLTK为语料库nltk_data提供的语料库nltk_data 。 我试过PlaintextCorpusReader但我无法超越： >>>import nltk >>>from nltk.corpus import PlaintextCorpusReader >>>corpus_root = './' >>>newcorpus = PlaintextCorpusReader(corpus_root, '.*') >
I'm playing around with the Natural Language Toolkit (NLTK). Its documentation (Book and HOWTO) are quite bulky and the examples are sometimes slightly advanced. Are there any good but basic examples of uses/applications of NLTK? I'm thinking of things like the NTLK articles on the Stream Hacker blog. Here's my own practical example for the benefit of anyone else looking this q
我正在玩弄自然语言工具包（NLTK）。 它的文档（Book和HOWTO）非常庞大，有时候这些例子稍有进步。 NLTK的使用/应用有没有很好但基本的例子？ 我正在考虑像Stream Hacker博客上的NTLK文章。 这里有我自己的实例来帮助其他任何人看到这个问题（原谅示例文本，这是我在Wikipedia上发现的第一件事）： import nltk import pprint tokenizer = None tagger = None def init_nltk(): global tokenizer global tagger
I'm writing a Python programme which listens for RFID input and only runs if a valid token is presented. The programme also has a GUI which I'm wanting to build using TkInter. Both parts of the puzzle work fine in isolation, however as it stands I seem to be able to choose one or the other - but not both! I can draw my TkInter window fine, however if I call the function to start liste
我正在编写一个Python程序，用于监听RFID输入，并且只在出现有效令牌时才运行。 该程序还有一个我想用TkInter构建的GUI。 这个难题的两个部分都可以独立运作，但是它看起来可以选择其中一个 - 但不能同时选择两个！ 我可以很好地画出我的TkInter窗口，但是如果我调用该函数开始监听RFID输入，然后该位运行正常并且可以正常工作...则不需要GUI。 代码如下。 你可以看到我的调试工作到目前为止，我的打印输出到终端...
I've got PyQt4 and pyqt4-dev-tools installed on my raspberry pi but I'm getting ImportError: No module named PyQt4 on my Raspberry Pi with the following includes when I run python3 from PyQt4 import QtGui from PyQt4 import QtCore I've got another Pi that PyQT4 is found so I'm not sure what I've done wrong on this one. Can anyone tell me what I can do to get Python t
我已经在我的树莓派上安装了PyQt4和pyqt4-dev-tools，但我越来越了 ImportError：我的Raspberry Pi没有名为PyQt4的模块 与下面包括当我运行python3 从PyQt4导入QtGui 从PyQt4导入QtCore 我还有另一个PyQT4发现，所以我不知道我在这一个做了什么错误。 任何人都可以告诉我，我能做些什么来让Python找到PyQt4模块？ 很可能你为Python 2.x安装了PyQt4和pyqt4-dev-tools ，但是对于Python 3.x不安装。 检查PyQt4是否
I'm creating a User Interface using PyQt4 module . the problem i'am facing is that i'm not able to access "self.ftp_tableWidget" variable class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8("MainWindow")) MainWindow.resize(790, 610) self.FTP = QtGui.QWidget() self.FTP.setObjectName(_fromUtf8("FTP")) self.ftp_ta
我正在使用PyQt4模块创建用户界面。 我面临的问题是我无法访问“self.ftp_tableWidget”变量 class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8("MainWindow")) MainWindow.resize(790, 610) self.FTP = QtGui.QWidget() self.FTP.setObjectName(_fromUtf8("FTP")) self.ftp_tableWidget = QtGui.QTableWidget(self.FTP) self.ftp_tableWidget.setGeomet
When deriving from a builtin type as well as from some other class, it seems that the builtin type's constructor doesn't call the super class constructor. This results in __init__ methods not being called for types that come after the builtin in the MRO. Example: class A: def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) print("A().__init__()")
当从内建类型以及从其他类派生时，似乎内建类型的构造函数不会调用超类构造函数。 这会导致__init__方法不会被调用到MRO中内置的类型之后。 例： class A: def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) print("A().__init__()") class B(list, A): def __init__(self, *args, **kwargs): print("B().__init__() start") super().__init__(*args, **kwa