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Fix bug with dependency bigrams (with lemmas and lowercasing enabled) #1

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Fix bug with dependency bigrams (with lemmas and lowercasing enabled) #1

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4832334
Fix bug: Lowercasing w/ lemmas in dependency bigrams works now
prrao87 Aug 6, 2020
2e62b0b
Fix space_list and ignore_list to be consistent with original version
prrao87 Aug 6, 2020
d6b64d2
Forgot to include else block for -PRON- case (fixed now)
prrao87 Aug 6, 2020
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12 changes: 8 additions & 4 deletions corpus_toolkit_dev/corpus_tools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,7 +191,7 @@ def write_corpus(new_dirname,corpus, dirname = False, ending = "txt"):
outf.flush()
outf.close()

ignore_list = [""," ", " ", " ", " "] #list of items we want to ignore in our frequency calculations
ignore_list = [""," ", " ", " ", " "] #list of items we want to ignore in our frequency calculations

def frequency(corpus_list, ignore = ignore_list, calc = 'freq', normed = False): #options for calc are 'freq' or 'range'
freq_dict = {} #empty dictionary
Expand Down Expand Up @@ -430,9 +430,13 @@ def dicter(item,d): #d is a dictinoary
dependent = token.text.lower() #then use the raw form of the word
headt = token.head.text.lower()
else:
dependent = token.lemma_
headt = token.head.lemma_
else:
if lower == True:
dependent = token.lemma_.lower()
headt = token.head.lemma_.lower()
else: # If lower is false, don't lower
dependent = token.lemma_
headt = token.head.lemma_
else: #if we want Spacy's pronoun lemma
dependent = token.lemma_
headt = token.head.lemma_

Expand Down