rd-parse | Generic recursive-descent parser in Javascript | Parser library
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kandi X-RAY | rd-parse Summary
Generic recursive-descent parser in Javascript
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QUESTION
I am parsing a police records csv file. There are multiple occurrences of the same date in the file. I have the dates map that creates a new date key with the type of DateData assigned to it.
The DateDate for now only has a Count
key. That key is to be incremented every time the same date appears again in the loop. Right now I am only able to increment once. the count goes from 1 to 2 even if there are dozens of the same dates.
This is the output I get with a shorter version of the csv file for clarity purposes.
...ANSWER
Answered 2021-Apr-25 at 23:58You're not updating your map
with the updated count. Add:
QUESTION
ANSWER
Answered 2020-Apr-22 at 09:13In python \b
inside a String is resolved to a backspace character. Therefore you see the white BS in the picture, becuase the console tries to represent this special character (BS for backspace).
What you need to do is to escape the \ inside your String like so
QUESTION
When I want to query a single partition I usually use something like that:
...ANSWER
Answered 2019-Oct-24 at 21:41It appears Oracle internally uses the ora_hash
function (at least since 10g) to assign a value to a partition. So you could use that to read all the data from a single partition. Unfortunately, though, since you'd be running a query like
QUESTION
I'm using the Stanford NLP tools in C#, via the IKVM Java interface. Also getting ideas from https://sergey-tihon.github.io/Stanford.NLP.NET/StanfordCoreNLP.html
...ANSWER
Answered 2019-Jun-26 at 21:42In general, Java Foo.class translates to C# typeof(Foo), so C# should accept the following:
QUESTION
There seems to be a lot of contradicting documentation for NLTK (where is the definitive source for NLTK/StanfordNLP documentation?).
My question: what is the preferred method to call the StanfordParser from nltk? This is my code, but something is incorrect in the java call.
...ANSWER
Answered 2019-Mar-27 at 20:00After digging around, it seems that the StanfordDependencyParser
class has been deprecated in NLTK:
The new, improved way:
First, download the full CoreNLP files from here, then start a CoreNLP server (I chose port 9010) in the downloaded folder by running the below command. The folder looks like the stanford-parser-full-2018-02-27
directory, for you:
$ java -mx1g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9010 -timeout 15000
Then, run this code:
QUESTION
I know this might seem a simple question - for which you might think existing answers exist. However ...
Understand that I want it be reasonable in performance, so it allows to be logged for every single query executed - or at least the big ones - without much overhead.
My first idea was this query:
...ANSWER
Answered 2018-May-27 at 19:30You could use new SQL*Plus option:
QUESTION
I am trying to build a PCFG using the POS tags obtained from the below code:
...ANSWER
Answered 2017-Mar-28 at 21:00I got the answer to this question. Instead of using fromstring
method, generate PCFG object by passing a list of nltk.ProbabilisticProduction
objects and an nltk.Nonterminal
object as below:
QUESTION
How can I modify this code to get only one particular output from the code. For example how can I get just 'nmod'
or 'dobj'
in output?
ANSWER
Answered 2017-Jan-22 at 22:57The only thing you have to do is filter(..)
and perhaps convert back to a list(..)
:
QUESTION
I am currently using the Python interface for the Stanford Parser.
...ANSWER
Answered 2017-Jan-07 at 18:35If you look at the NLTK classes for the Stanford parser, you can see that the the raw_parse_sents()
method doesn't send the -outputFormat wordsAndTags
option that you want, and instead sends -outputFormat Penn
.
If you derive your own class from StanfordParser
, you could override this method and specify the wordsAndTags
format.
QUESTION
Firstly, parsing is running smooth on small set of sentences - In order of 200ms to 1s - depending on the sentence size.
What do I want to achieve?
I want to parse 50L sentences in 1-2 hours.
Somehow, I need to convert this ->
...ANSWER
Answered 2017-Jan-11 at 12:37Here is an example command that will run the parser in multi-threaded mode:
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