tokenize

问题 I am using this code: StringTokenizer tokenizer=new StringTokenizer(line, "::"); to split the following String: hi my name is visghal:: what is yor name name:: being thw simple my::: what is yor name name. Now i want to split the string using :: as delimiter. It is working fine. But it is also taking ::: into consideration. In other words i want: hi my name is visghal what is yor name name being thw simple my : what is yor name name Instead it is giving me the following: being thw simple my

问题 below is my regex to parse comma separated key-value pairs: function extractParams(str) { var result = {}; str.replace(/\s*([^=,]+)\s*=\s*([^,]*)\s*/g, function(_, a, b) { result[a.trim()] = b.trim(); }); return result; } For example the result of: extractParams("arg1 = value1 ,arg2 = value2 ,arg3=uuu") is {"arg1":"value1","arg2":"value2","arg3":"uuu"} . I want to extend this function to allow the values include escaped commas, equals signs and the escape character itself. Such that the

问题 I have some reasonable (not obfuscated) Perl source files, and I need a tokenizer, which will split it to tokens, and return the token type of each of them, e.g. for the script print "Hello, World!\n"; it would return something like this: keyword 5 bytes whitespace 1 byte double-quoted-string 17 bytes semicolon 1 byte whitespace 1 byte Which is the best library (preferably written in Perl) for this? It has to be reasonably correct, i.e. it should be able to parse syntactic constructs like qq{

问题 i have just started learning random forest , so if this sounds stupid i am very sorry for it I was recently practicing bag of words introduction : kaggle , i want to clear few things : using vectorizer.fit_transform( " * on the list of cleaned reviews* " ) Now when we were preparing the bag of words array on train reviews we used fit_predict on the list of train reviews , now i know that fit_predict does two things , > first it fits on the data and knows the vocabulary and then it makes

问题 I have string like this /c SomeText\MoreText "Some Text\More Text\Lol" SomeText I want to tokenize it, however I can't just split on the spaces. I've come up with somewhat ugly parser that works, but I'm wondering if anyone has a more elegant design. This is in C# btw. EDIT: My ugly version, while ugly, is O(N) and may actually be faster than using a RegEx. private string[] tokenize(string input) { string[] tokens = input.Split(' '); List<String> output = new List<String>(); for (int i = 0; i

问题 Is there a way to tokenize a string in C++ with multiple separators? In C# I would have done: string[] tokens = "adsl, dkks; dk".Split(new [] { ",", " ", ";" }, StringSplitOptions.RemoveEmpty); 回答1: Use boost::tokenizer. It supports multiple separators. In fact, you don't really even need boost::tokenizer. If all you want is a split, use boost::split. The documentation has an example: http://www.boost.org/doc/libs/1_42_0/doc/html/string_algo/usage.html#id1718906 回答2: Something like that will

问题 How do I customize the default action for flex. I found something like <*> but when I run it it says "flex scanner jammed"? Also the . rule only adds a rule so it does not work either. What I want is comment "/*"[^"*/"]*"*/" %% {comment} return 1; {default} return 0; <<EOF>> return -1; Is it possible to change the behavior of matching longest to match first? If so I would do something like this default (.|\n)* but because this almost always gives a longer match it will hide the comment rule.

问题 I am using Elasticsearch in-built Simple analyzer https://www.elastic.co/guide/en/elasticsearch/reference/1.7/analysis-simple-analyzer.html, which uses Lower Case Tokenizer. and text apple 8 IS Awesome is tokenized in below format. "apple", "is", "awesome" You can clearly see, that it misses to tokenize the number 8 , hence now if I just search with 8 , my message will not appear in search. I went through all the available analyzer available with ES but couldn't find any suitable analyzer

问题 This question already has answers here : How do I tokenize a string sentence in NLTK? (2 answers) Closed 2 years ago . I have a text dataset. Those dataset consist of many lines that each lines are consist of two sentences split by tab, like this : this is string 1, first sentence. this is string 2, first sentence. this is string 1, second sentence. this is string 2, second sentence. and then I have split the datatext by this code : #file readdata.py from globalvariable import * import os

问题 I'm trying to create a tiny interpreter for TI-BASIC syntax. This is a snippet of TI-BASIC I'm trying to interpret A->(2+(3*3)) I've tokenized the code above into this sequence of tokens: Token{type=VARIABLE, content='A'} Token{type=ASSIGN, content='null'} Token{type=L_PAREN, content='null'} Token{type=NUM, content='2'} Token{type=ADD, content='null'} Token{type=L_PAREN, content='null'} Token{type=NUM, content='3'} Token{type=MULT, content='null'} Token{type=NUM, content='3'} Token{type=R