Spacy MemoryError












1















I managed to install spacy but when trying to use nlp then I am getting a MemoryError for some weird reason.



The code I wrote is as follows:



import spacy

import re

from nltk.corpus import gutenberg



def clean_text(astring):

    #replace newlines with space

    newstring=re.sub("n"," ",astring)

    #remove title and chapter headings

    newstring=re.sub("[[^]]*]"," ",newstring)

    newstring=re.sub("VOLUME S+"," ",newstring)

    newstring=re.sub("CHAPTER S+"," ",newstring)

    newstring=re.sub("ss+"," ",newstring)

    return newstring.lstrip().rstrip()



nlp=spacy.load('en')

alice=clean_text(gutenberg.raw('carroll-alice.txt'))

nlp_alice=list(nlp(alice).sents)


The error I am getting is as follows



The error message



Although when my code is something like this then it works:



import spacy



nlp=spacy.load('en')

alice=nlp("hello Hello")


If anybody could point out what I am doing wrong I would be very grateful






python nlp spacy







share|improve this question























  • Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

    – Joe B
    Jan 2 at 23:20











  • Probably because list(nlp(alice).sents) uses all your memory...

    – juanpa.arrivillaga
    Jan 2 at 23:35
















1















I managed to install spacy but when trying to use nlp then I am getting a MemoryError for some weird reason.



The code I wrote is as follows:



import spacy

import re

from nltk.corpus import gutenberg



def clean_text(astring):

    #replace newlines with space

    newstring=re.sub("n"," ",astring)

    #remove title and chapter headings

    newstring=re.sub("[[^]]*]"," ",newstring)

    newstring=re.sub("VOLUME S+"," ",newstring)

    newstring=re.sub("CHAPTER S+"," ",newstring)

    newstring=re.sub("ss+"," ",newstring)

    return newstring.lstrip().rstrip()



nlp=spacy.load('en')

alice=clean_text(gutenberg.raw('carroll-alice.txt'))

nlp_alice=list(nlp(alice).sents)


The error I am getting is as follows



The error message



Although when my code is something like this then it works:



import spacy



nlp=spacy.load('en')

alice=nlp("hello Hello")


If anybody could point out what I am doing wrong I would be very grateful






python nlp spacy







share|improve this question























  • Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

    – Joe B
    Jan 2 at 23:20











  • Probably because list(nlp(alice).sents) uses all your memory...

    – juanpa.arrivillaga
    Jan 2 at 23:35














1












1








1








I managed to install spacy but when trying to use nlp then I am getting a MemoryError for some weird reason.



The code I wrote is as follows:



import spacy

import re

from nltk.corpus import gutenberg



def clean_text(astring):

    #replace newlines with space

    newstring=re.sub("n"," ",astring)

    #remove title and chapter headings

    newstring=re.sub("[[^]]*]"," ",newstring)

    newstring=re.sub("VOLUME S+"," ",newstring)

    newstring=re.sub("CHAPTER S+"," ",newstring)

    newstring=re.sub("ss+"," ",newstring)

    return newstring.lstrip().rstrip()



nlp=spacy.load('en')

alice=clean_text(gutenberg.raw('carroll-alice.txt'))

nlp_alice=list(nlp(alice).sents)


The error I am getting is as follows



The error message



Although when my code is something like this then it works:



import spacy



nlp=spacy.load('en')

alice=nlp("hello Hello")


If anybody could point out what I am doing wrong I would be very grateful






python nlp spacy







share|improve this question














I managed to install spacy but when trying to use nlp then I am getting a MemoryError for some weird reason.



The code I wrote is as follows:



import spacy

import re

from nltk.corpus import gutenberg



def clean_text(astring):

    #replace newlines with space

    newstring=re.sub("n"," ",astring)

    #remove title and chapter headings

    newstring=re.sub("[[^]]*]"," ",newstring)

    newstring=re.sub("VOLUME S+"," ",newstring)

    newstring=re.sub("CHAPTER S+"," ",newstring)

    newstring=re.sub("ss+"," ",newstring)

    return newstring.lstrip().rstrip()



nlp=spacy.load('en')

alice=clean_text(gutenberg.raw('carroll-alice.txt'))

nlp_alice=list(nlp(alice).sents)


The error I am getting is as follows



The error message



Although when my code is something like this then it works:



import spacy



nlp=spacy.load('en')

alice=nlp("hello Hello")


If anybody could point out what I am doing wrong I would be very grateful






python nlp spacy




python nlp spacy






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jan 2 at 23:16









Marion LaanemaeMarion Laanemae

62




62













  • Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

    – Joe B
    Jan 2 at 23:20











  • Probably because list(nlp(alice).sents) uses all your memory...

    – juanpa.arrivillaga
    Jan 2 at 23:35



















  • Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

    – Joe B
    Jan 2 at 23:20











  • Probably because list(nlp(alice).sents) uses all your memory...

    – juanpa.arrivillaga
    Jan 2 at 23:35

















Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

– Joe B
Jan 2 at 23:20





Hmmmm...can you look at your computers memory usage and check if it is being entirely used? Task manager in windows or activity monitor in mac.

– Joe B
Jan 2 at 23:20













Probably because list(nlp(alice).sents) uses all your memory...

– juanpa.arrivillaga
Jan 2 at 23:35





Probably because list(nlp(alice).sents) uses all your memory...

– juanpa.arrivillaga
Jan 2 at 23:35












1 Answer
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oldest

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I'm guessing you truly are running out of memory. I couldn't find an exact number, but I'm sure Carrol's Alice's Adventures in Wonderland has tens of thousands of sentences. This equates to tens of thousands of Span elements from Spacy. Without modification, nlp() determines everything from POS to dependencies for the string passed to it. Moreover, the sents property returns an iterator which should be taken advantage of, as opposed to immediately expanding in a list.



Basically, you're attempting a computation which very likely might be running into a memory constraint. How much memory does your machine support? In the comments Joe suggested watching your machine's memory usage, I second this. My recommendations: check if your are actually running out of memory, or limit the functionality of nlp(), or consider doing your work with the iterator functionality:



for sentence in nlp(alice).sents:

    pass





share|improve this answer
























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    1 Answer
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    1 Answer
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    active

    oldest

    votes









    1














    I'm guessing you truly are running out of memory. I couldn't find an exact number, but I'm sure Carrol's Alice's Adventures in Wonderland has tens of thousands of sentences. This equates to tens of thousands of Span elements from Spacy. Without modification, nlp() determines everything from POS to dependencies for the string passed to it. Moreover, the sents property returns an iterator which should be taken advantage of, as opposed to immediately expanding in a list.



    Basically, you're attempting a computation which very likely might be running into a memory constraint. How much memory does your machine support? In the comments Joe suggested watching your machine's memory usage, I second this. My recommendations: check if your are actually running out of memory, or limit the functionality of nlp(), or consider doing your work with the iterator functionality:



    for sentence in nlp(alice).sents:
    
    pass





    share|improve this answer




























      1














      I'm guessing you truly are running out of memory. I couldn't find an exact number, but I'm sure Carrol's Alice's Adventures in Wonderland has tens of thousands of sentences. This equates to tens of thousands of Span elements from Spacy. Without modification, nlp() determines everything from POS to dependencies for the string passed to it. Moreover, the sents property returns an iterator which should be taken advantage of, as opposed to immediately expanding in a list.



      Basically, you're attempting a computation which very likely might be running into a memory constraint. How much memory does your machine support? In the comments Joe suggested watching your machine's memory usage, I second this. My recommendations: check if your are actually running out of memory, or limit the functionality of nlp(), or consider doing your work with the iterator functionality:



      for sentence in nlp(alice).sents:
      
    pass





      share|improve this answer


























        1












        1








        1







        I'm guessing you truly are running out of memory. I couldn't find an exact number, but I'm sure Carrol's Alice's Adventures in Wonderland has tens of thousands of sentences. This equates to tens of thousands of Span elements from Spacy. Without modification, nlp() determines everything from POS to dependencies for the string passed to it. Moreover, the sents property returns an iterator which should be taken advantage of, as opposed to immediately expanding in a list.



        Basically, you're attempting a computation which very likely might be running into a memory constraint. How much memory does your machine support? In the comments Joe suggested watching your machine's memory usage, I second this. My recommendations: check if your are actually running out of memory, or limit the functionality of nlp(), or consider doing your work with the iterator functionality:



        for sentence in nlp(alice).sents:
        
    pass





        share|improve this answer













        I'm guessing you truly are running out of memory. I couldn't find an exact number, but I'm sure Carrol's Alice's Adventures in Wonderland has tens of thousands of sentences. This equates to tens of thousands of Span elements from Spacy. Without modification, nlp() determines everything from POS to dependencies for the string passed to it. Moreover, the sents property returns an iterator which should be taken advantage of, as opposed to immediately expanding in a list.



        Basically, you're attempting a computation which very likely might be running into a memory constraint. How much memory does your machine support? In the comments Joe suggested watching your machine's memory usage, I second this. My recommendations: check if your are actually running out of memory, or limit the functionality of nlp(), or consider doing your work with the iterator functionality:



        for sentence in nlp(alice).sents:
        
    pass






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 3 at 21:56









        Alex LAlex L

        319411




        319411
































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