R text mining package DocumentTermMatrix with a dictionary in the control list takes way too much memory [closed]

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I have noticed that DocumentTermMatrix(myCorpus, control=list(dictionary=myDict)) consumes way more memory than DocumentTermMatrix(myCorpus)

Why is this happening?

Any leads?

Here is the code snippet:

library(tm)
library(XML)
source("MyXMLReader.r") # contains the myXML reader code 
myCorpus <- Corpus(DirSource(paste(basepath,"corpus",sep=""))
readerControl = list(reader = myXMLReader))
myDict = unlist(readLines("some-file-containing-a-fixed-vocab"))

Now here is my question:

dtm = DocumentTermMatrix(mYCorpus) # takes very little extra RAM to do this
dtm = DocumentTermMatrix(myCorpus,control=list(dictionary=myDict)) # Takes a whol开发者_运维百科e lot of # RAM` which is not even released after dtm is formed...

I guess there is a memory leak and possible bug.