def loadPMIDictionary():#LHS: a dictionary with the lexical pointer as the key, and the complements as the value (for debugging)
pmidic = {}
pmi_f = openCSV("lexica/PMI_Dictionary.txt", '\t')
# skip the header row
iterRows = iter(pmi_f)
next(iterRows)
# get all of the complements for each lexical pointer
for row in iterRows:
complement = row[7]
if complement not in ["None", "clause", "inf"]:
complement = utf8ToTransliteration(complement)
verbRowConverter.pmi[int(row[1])].append(complement)
lp = row[1]
if lp in pmidic:#there's already an entry
pmidic[lp].append(complement)
else:
pmidic[lp] = [complement]
return pmidic
advRowConverter.loadAllAdvs(partsOfSpeechList[posList_indices_c["adverb"]])
print "loading existing verbs into verb converter..."
verbRowConverter.loadAllVerbs(partsOfSpeechList[posList_indices_c["verb"]], lexicon_c)
print "loading PMI_Dictionary into verb converter..."
verbRowConverter.loadPMIDictionary()#original
## pmidic = verbRowConverter.loadPMIDictionary()#lhs debug
## keys = pmidic.keys()
## keys.sort()
## for key in keys:
## val = pmidic[key]
## #if len(val) == 4 and 'at' in val and 'b' in val and 'yl' in val and 'clause' in val:
## if 'b' in val and 'at' in val and 'yl' in val and ('l' in val or 'al' in val):
## print(str(key) + ': ' + str(val))
csv_f = openCSV("lexica/new_dinflections.csv", '\t')
# skip the header row
iterRows = iter(csv_f)
next(iterRows)
print "parsing new_dinflections.csv..."
for row in iterRows:
# get the rowConverter class to convert the row to the proper TDL
rowToTDL = factory.converterFactory(row)
# skip rows that have no ways to be converted to TDL
if rowToTDL is None:
continue
rowToTDL.addToDictionary()
