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get_lexicon.py
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get_lexicon.py
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import sys
import os
import json
import gzip
#get lexical vars for generation system from XTAG
def get_inflections():
inflections = {}
nouns = []
f = gzip.open('lexical/morph_english.flat.gz', 'rt')
all_inflections = {}
noun_inflections = {}
for line in f:
if line[0] == ';': continue
entry = line.split('\t')
# pts_of_spch = []
inflct = entry[0].rstrip()
main_lemma = entry[2].rstrip()
pts_of_spch = entry[3:]
prog_lemmas = []
for i in range(len(pts_of_spch)):
if i < len(pts_of_spch)-1:
div = pts_of_spch[i].split('#')
lemma = div[1]
pt_of_spch = div[0].split(' ')
else:
lemma = main_lemma
pt_of_spch = pts_of_spch[i].rstrip().split(' ')
prog_lemmas.append(lemma)
if pt_of_spch[0] == 'V':
# delete -ing to get lemma (works for many)
if lemma.endswith('ing') and lemma != 'sing':
for lem in prog_lemmas:
if not lem.endswith('ing'):
lemma = lem
if lemma == 'sung':
lemma = 'sing'
if lemma not in all_inflections:
all_inflections[lemma] = {}
if 'tensed' not in all_inflections[lemma]:
all_inflections[lemma]['tensed'] = {}
if pt_of_spch[1] == 'INF':
all_inflections[lemma]['tensed']['prespl'] = inflct
if pt_of_spch[1] == '3sg':
all_inflections[lemma]['tensed']['pressg'] = inflct
if pt_of_spch[1] == 'PAST':
all_inflections[lemma]['tensed']['past'] = inflct
if pt_of_spch[1] == 'PPART':
all_inflections[lemma]['pastpart'] = inflct
if pt_of_spch[1] == 'PROG':
all_inflections[lemma]['prespart'] = inflct
if pt_of_spch[0] == 'N':
if lemma not in noun_inflections:
noun_inflections[lemma] = {}
if len(pt_of_spch) < 3:
if pt_of_spch[1] == '3sg':
noun_inflections[lemma]['sg'] = inflct
if pt_of_spch[1] == '3pl':
noun_inflections[lemma]['pl'] = inflct
# line = f.readline()
f.close()
return all_inflections,noun_inflections
#load vocab from file
def get_lemmas(vocab):
# read input file
nouns = []
trans = []
intrans = []
adverbs = None
with open(vocab, 'rU') as f:
vocabdict = json.load(f)
for word in vocabdict['intransitive']:
intrans.append(word.strip())
for word in vocabdict['transitive']:
trans.append(word.strip())
for word in vocabdict['noun']:
nouns.append(word.strip())
if 'adverbs' in vocabdict:
adverbs = [word.strip() for word in vocabdict['adverbs']]
return nouns,trans,intrans,adverbs
def compile_vocab(vocab,out):
all_inflections,noun_inflections = get_inflections()
nouns,trans,intrans,adverbs = get_lemmas(vocab)
lexvars = {}
remove = {'intrans':[],'trans':[],'noun':[]}
verbs = {'transitive':[],'intransitive':[]}
frames = {}
v_inflct = {} # keep nouns and verb separate at first, to see if all inflections are present
n_inflct = {}
past_parts = {}
for lemma in all_inflections:
if len(all_inflections[lemma]['tensed']) == 0:
past_parts[lemma] = lemma
for past_part in past_parts:
all_inflections.pop(past_part)
for lemma in all_inflections:
if 'pastpart' not in all_inflections[lemma]:
if 'past' in all_inflections[lemma]['tensed'] and all_inflections[lemma]['tensed']['past'] in past_parts:
all_inflections[lemma]['pastpart'] = past_parts[all_inflections[lemma]['tensed']['past']]
# check if words have all inflections
for v in trans:
if v in all_inflections:
v_inflct[v] = all_inflections[v]
else:
remove['trans'].append(v)
for v in intrans:
if v in all_inflections:
v_inflct[v] = all_inflections[v]
else:
remove['intrans'].append(v)
for n in nouns:
if n in noun_inflections:
n_inflct[n] = noun_inflections[n]
else:
remove['noun'].append(n)
for l in v_inflct:
if ('tensed' not in v_inflct[l]) or ('pastpart' not in v_inflct[l]) or ('prespart' not in v_inflct[l]) or (('tensed' in v_inflct[l]) and (('pressg' not in v_inflct[l]['tensed']) or ('prespl' not in v_inflct[l]['tensed']) or ('past' not in v_inflct[l]['tensed']))):
if l in trans:
remove['trans'].append(l)
if l in intrans:
remove['intrans'].append(l)
for l in n_inflct:
if ('sg' not in n_inflct[l]) or ('pl' not in n_inflct[l]):
remove['noun'].append(l)
#remove from lists
trans = [l for l in trans if l not in remove['trans']]
intrans = [l for l in intrans if l not in remove['intrans']]
nouns = [l for l in nouns if l not in remove['noun']]
# remove from inflct
for l in remove:
if l in v_inflct:
v_inflct.pop(l, None)
if l in n_inflct:
n_inflct.pop(l, None)
# build data structures
for v in trans:
verbs['transitive'].append(v)
for v in intrans:
verbs['intransitive'].append(v)
for i in verbs:
for v in verbs[i]:
frames[v] = i
inflections = dict(v_inflct)
inflections.update(n_inflct)
lexvars['verbs'] = verbs
lexvars['nouns'] = nouns
lexvars['frames'] = frames
lexvars['inflections'] = inflections
lexvars['nxlist'] = adverbs
with open(out, 'w') as output:
json.dump(lexvars,output,indent=1)
remove_all = remove['trans']+remove['intrans']+remove['noun']
if len(remove_all) > 0:
print('\n# The following lemmas were removed:\n%s\n'%'\n'.join(remove_all))
return nouns,verbs,frames,inflections
if __name__ == "__main__":
compile_vocab('lexical/vocabulary.json','gensys_lexvars.json')