words()和raw()以及word_tokenize()的区别

Question

words()和raw()比较
主要是想请问一下这俩有啥区别呀

from nltk.corpus import PlaintextCorpusReader as txtR
corpora = txtR(r'D:\python test\1', ['total book1.txt'])
corpora.words()

from nltk.corpus import PlaintextCorpusReader as txtR
corpora = txtR(r'D:\python test\1', ['total book1.txt'])
corpora.raw()

Answer 1

#corpora.words()返回
['Research', 'on', 'incidental', 'second', 'language', ...]
#corpora.raw()返回
"Research on incidental second language (L2) vocabulary acquisition through reading has claimed that repeated encounters with unfamiliar words and the relative elaboration of processing these words facilitate word learning. However, so far both variables have been investigated in isolation. To help close this research gap, the current study investigates the differential effects of the variables 'word exposure frequency' and 'elaboration of word processing' on the initial word learning and subsequent word retention of advanced learners of L2 English. Whereas results showed equal effects for both variables on initial word learning, subsequent word retention was more contingent on elaborate processing of form-meaning relationships than on word frequency. These results, together with those of the studies reviewed, suggest that processing words again after reading (input output cycles) is superior to reading-only tasks. The findings have significant implications for adaptation and development of teaching materials that enhance L2 vocabulary learning."