def process(self, lexicon: Lexicon):
"""Build Princeton WordNet to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {'V': 'VERB', 'N': 'NOUN'}
# add lemmas and morphological features
for entry in harm:
lexicon.create_lexeme(lemma=entry['form'],
pos=parse_pos[entry['pos']])
# add main derivational relations and semantic labels,
# add other derivational relations and semantic labels,
# add references to splitted families
for entry in harm:
c_pos = parse_pos[entry['pos']]
chi_node = lexicon.get_lexemes(lemma=entry['form'], pos=c_pos)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0][0].split('_')
p_pos = parse_pos[p_pos]
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
label = entry['parent'][1].capitalize()
chi_node.parent_relation.feats['SemanticLabel'] = label
if entry['others']: # TODO: change place to 9th colummn
parents = list()
for other in entry['others']:
p_form, p_pos = other[0][0].split('_')
label = other[1].capitalize()
p_pos = parse_pos[p_pos]
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos)[0]
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
p = par_node.lemid + '&SemanticLabel=' + label
p += '&Type=Derivation'
parents.append(p)
if parents:
chi_node.misc['other_parents'] = '|'.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
p_form, p_pos = ref.split('_')
p_pos = parse_pos[p_pos]
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
return lexicon
def process(self, lexicon: Lexicon):
"""Build DerivBaseHR to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {'V': 'VERB', 'N': 'NOUN', 'A': 'ADJ'}
# add lemmas and morphological features
for entry in harm:
lid = entry['form'] + '#' + parse_pos[entry['pos']]
lexicon.create_lexeme(lemma=entry['form'],
pos=parse_pos[entry['pos']],
lemid=lid)
# add main relations and rules,
# add other derivational relations and rules,
# add references to splitted families
for entry in harm:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'] + '#' + c_pos
chi_node = lexicon.get_lexemes(lemma=entry['form'],
pos=c_pos,
lemid=c_lid)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
p_form, p_pos = ref.split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
return lexicon
def process(self, lexicon: Lexicon):
"""Build DerIvaTario to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {
'V': 'VERB',
'N': 'NOUN',
'A': 'ADJ',
'D': 'ADV',
'E': 'X',
'X': 'X'
}
# add lemmas and morphological features
for entry in harm:
lid = entry['form'].lower() + '#' + parse_pos[entry['pos']]
lexicon.create_lexeme(lemma=entry['form'].lower(),
pos=parse_pos[entry['pos']],
lemid=lid)
# add main relations,
# add original features
for entry in harm:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'].lower() + '#' + c_pos
chi_node = lexicon.get_lexemes(lemma=entry['form'].lower(),
pos=c_pos,
lemid=c_lid)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form.lower() + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form.lower(),
pos=p_pos,
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
orig = entry['orig'].split(';')
orig_id = int(orig[0])
orig_sg = [i for i in orig[2:-1] if i]
chi_node.misc['original_id'] = orig_id
chi_node.misc['segmentation'] = orig_sg
return lexicon
def process(self, lexicon: Lexicon):
"""Build Serbo-Croatian Etymological WordNet to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
# add lemmas and morphological features
for entry in harm:
lexicon.create_lexeme(lemma=entry['form'], pos='')
# add main derivational relations,
# add other derivational relations,
# add references to splitted families
for entry in harm:
chi_node = lexicon.get_lexemes(lemma=entry['form'])[0]
if entry['parent']:
par_node = lexicon.get_lexemes(lemma=entry['parent'][0])[0]
lexicon.add_derivation(source=par_node, target=chi_node)
if entry['others']: # TODO: change place to 9th colummn
parents = list()
for other in entry['others']:
par_node = lexicon.get_lexemes(lemma=other[0])[0]
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
parents.append(par_node.lemid + '&Type=Derivation')
if parents:
chi_node.misc['other_parents'] = '|'.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
par_node = lexicon.get_lexemes(lemma=ref)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
return lexicon
def process(self, lexicon: Lexicon):
"""Build Latin WFL to DeriNet format."""
def parse_lemmas(l_lem, l_pos):
parse_pos = {
'A': 'ADJ',
'N': 'NOUN',
'V': 'VERB',
'I': 'X',
'P': 'PRON',
'U': 'AUX'
}
gend_parse = {'m': 'Masc', 'f': 'Fem', 'n': 'Neut'}
pos, gend, _, wid = l_pos.split('_')
feat = {}
if pos[0] == 'N':
if gend in ('m', 'f', 'n'):
feat['Gender'] = gend_parse[gend]
if len(pos) > 1:
feat['Declension'] = pos[1]
elif pos[0] == 'A' and len(pos) > 1:
feat['AdjClass'] = pos[1]
elif pos[0] == 'V':
if len(pos) <= 1:
pass
elif pos[1] in ('1', '2', '3', '4', '5'):
feat['Conjugation'] = pos[1]
elif pos[1] == 'A':
pos = 'U'
lid = l_lem + '#' + parse_pos[pos[0]] + '#' + wid
return parse_pos[pos[0]], feat, lid
# load data
harm = pickle.load(open(self.fname, 'rb'))
# add lemmas, morphological features and segmentation
for entry in harm:
pos, feat, lid = parse_lemmas(entry['form'], entry['pos'])
# check presence in the lexicon (due to compounds)
present = lexicon.get_lexemes(lemma=entry['form'],
pos=pos,
lemid=lid)
if len(present) == 0:
lexicon.create_lexeme(lemma=entry['form'],
pos=pos,
feats=feat,
lemid=lid)
# add main relations and used afix,
# add other derivational relations and used afix,
# add references to splitted families,
# add compounding
for entry in harm:
c_pos, _, c_lid = parse_lemmas(entry['form'], entry['pos'])
chi_node = lexicon.get_lexemes(lemma=entry['form'],
pos=c_pos,
lemid=c_lid)[0]
if entry['parent']:
parse = entry['parent'][0][0].split('_')
p_form = parse[0]
p_pos, _, p_lid = parse_lemmas(p_form, '_'.join(parse[1:]))
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
afix = entry['parent'][1][3]
typ = entry['parent'][1][2].replace('Derivation_', '')
if typ in ('Prefix', 'Suffix'):
lexicon.add_derivation(source=par_node, target=chi_node)
chi_node.parent_relation.feats[typ] = afix
elif typ == 'Conversion':
lexicon.add_conversion(source=par_node, target=chi_node)
if entry['others']: # TODO: change place to 9th colummn;conversion
parents = list()
for other in entry['others']:
parse = other[0][0].split('_')
p_form = parse[0]
p_pos, _, p_lid = parse_lemmas(p_form, '_'.join(parse[1:]))
afix = other[1][3]
typ = other[1][2].replace('Derivation_', '')
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
if typ in ('Prefix', 'Suffix'):
p = par_node.lemid + '&' + typ + '=' + afix
p += '&Type=Derivation'
parents.append(p)
else:
parents.append(par_node.lemid + '&Type=' + typ)
if parents:
chi_node.misc['other_parents'] = '|'.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
parse = ref.split('_')
p_form = parse[0]
p_pos, _, p_lid = parse_lemmas(p_form, '_'.join(parse[1:]))
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
if entry['compounding']:
p1_parse = entry['compounding'][0][0].split('_')
p1_form = p1_parse[0]
p1_attr = '_'.join(p1_parse[1:])
p1_pos, p1_feat, p1_lid = parse_lemmas(p1_form, p1_attr)
p1_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)
if len(p1_node) == 0:
lexicon.create_lexeme(lemma=p1_form,
pos=p1_pos,
feats=p1_feat,
lemid=p1_lid)
p1_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)[0]
p2_parse = entry['compounding'][1][0].split('_')
p2_form = p2_parse[0]
p2_attr = '_'.join(p2_parse[1:])
p2_pos, p2_feat, p2_lid = parse_lemmas(p2_form, p2_attr)
p2_node = lexicon.get_lexemes(lemma=p2_form,
pos=p2_pos,
lemid=p2_lid)
if len(p2_node) == 0:
lexicon.create_lexeme(lemma=p2_form,
pos=p2_pos,
feats=p2_feat,
lemid=p2_lid)
p2_node = lexicon.get_lexemes(lemma=p2_form,
pos=p2_pos,
lemid=p2_lid)[0]
if p1_node == p2_node or not p1_node or not p2_node:
continue
lexicon.add_composition([p1_node, p2_node], p1_node, chi_node)
return lexicon
def process(self, lexicon: Lexicon):
"""Build DerivBase to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {
'V': ('VERB', None),
'Nn': ('NOUN', 'Gender:Neut'),
'Nf': ('NOUN', 'Gender:Fem'),
'Nm': ('NOUN', 'Gender:Masc'),
'N': ('NOUN', None),
'A': ('ADJ', None)
}
# add lemmas and morphological features
for entry in harm:
feat = {}
if parse_pos[entry['pos']][1] is not None:
for f in parse_pos[entry['pos']][1:]:
key, value = f.split(':')
feat[key] = value
lid = entry['form'] + '#' + parse_pos[entry['pos']][0]
if parse_pos[entry['pos']][1]:
lid += '#' + parse_pos[entry['pos']][1].replace('Gender:', '')
lexicon.create_lexeme(lemma=entry['form'],
pos=parse_pos[entry['pos']][0],
feats=feat,
lemid=lid)
# add main relations and rules,
# add other derivational relations and rules,
# add references to splitted families
for entry in harm:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'] + '#' + c_pos[0]
if c_pos[1]:
c_lid += '#' + c_pos[1].replace('Gender:', '')
chi_node = lexicon.get_lexemes(lemma=entry['form'],
pos=c_pos[0],
lemid=c_lid)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[1]:
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos[0],
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
rule = entry['parent'][1].replace('>', '')
chi_node.parent_relation.feats['Rule'] = rule
if entry['others']: # TODO: change place to 9th colummn
parents = list()
for other in entry['others']:
p_form, p_pos = other[0][0].split('_')
rule = other[1].replace('>', '')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[1]:
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos[0],
lemid=p_lid)[0]
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
p = par_node.lemid + '&Rule=' + rule
p += '&Type=Derivation'
parents.append(p)
if parents:
chi_node.misc['other_parents'] = '|'.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
p_form, p_pos = ref.split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[1]:
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos[0],
lemid=p_lid)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
return lexicon
def process(self, lexicon: Lexicon):
"""Build GCelex to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {
'N': 'NOUN',
'V': 'VERB',
'A': 'ADJ',
'D': 'ADV',
'X': 'X',
'C': 'NUM',
'P': 'ADP'
}
# add lemmas and morphological features
for entry in harm:
oid, form = entry['form'].split('_')
lid = form + '#' + parse_pos[entry['pos']] + '#' + oid
lexicon.create_lexeme(lemma=form,
pos=parse_pos[entry['pos']],
lemid=lid)
# add main relations,
# add original features,
# add compounds
for entry in harm:
c_pos = parse_pos[entry['pos']]
oid, form = entry['form'].split('_')
c_lid = form + '#' + c_pos + '#' + oid
chi_node = lexicon.get_lexemes(lemma=form, pos=c_pos,
lemid=c_lid)[0]
if entry['parent']:
p_oid, p_form, p_pos = entry['parent'][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos + '#' + p_oid
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
# features
orig = entry['orig'].split('#')
if len(orig) > 0 and orig != ['']:
orig_hierarch = orig[0]
chi_node.misc['segmentation_hierarch'] = orig_hierarch
if len(orig) > 1:
orig_flat = orig[1]
chi_node.misc['segmentation'] = orig_flat
if len(orig) > 2:
orig_morphs = orig[2]
chi_node.misc['morpheme_order'] = orig_morphs
# compounds
if entry['compounding']:
# parent 1
p1_oid, p1_form, p1_pos = entry['compounding'][0][0].split('_')
p1_pos = parse_pos[p1_pos]
p1_lid = '#'.join([p1_oid, p1_form, p1_pos])
p1_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)
if len(p1_node) == 0:
lexicon.create_lexeme(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)
# features
p1_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)[0]
orig = entry['compounding'][0][1].split('#')
if len(orig) > 0 and orig != ['']:
orig_hierarch = orig[0]
p1_node.misc['segmentation_hierarch'] = orig_hierarch
if len(orig) > 1:
orig_flat = orig[1]
p1_node.misc['segmentation'] = orig_flat
if len(orig) > 2:
orig_morphs = orig[2]
p1_node.misc['morpheme_order'] = orig_morphs
p1_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)[0]
# parent 2
p2_oid, p2_form, p2_pos = entry['compounding'][1][0].split('_')
p2_pos = parse_pos[p2_pos]
p2_lid = '#'.join([p2_oid, p2_form, p2_pos])
p2_node = lexicon.get_lexemes(lemma=p2_form,
pos=p2_pos,
lemid=p2_lid)
if len(p2_node) == 0:
lexicon.create_lexeme(lemma=p2_form,
pos=p2_pos,
lemid=p2_lid)
# features
p2_node = lexicon.get_lexemes(lemma=p1_form,
pos=p1_pos,
lemid=p1_lid)[0]
orig = entry['compounding'][1][1].split('#')
if len(orig) > 0 and orig != ['']:
orig_hierarch = orig[0]
p2_node.misc['segmentation_hierarch'] = orig_hierarch
if len(orig) > 1:
orig_flat = orig[1]
p2_node.misc['segmentation'] = orig_flat
if len(orig) > 2:
orig_morphs = orig[2]
p2_node.misc['morpheme_order'] = orig_morphs
p2_node = lexicon.get_lexemes(lemma=p2_form,
pos=p2_pos,
lemid=p2_lid)[0]
if p1_node == p2_node or not p1_node or not p2_node:
continue
lexicon.add_composition([p1_node, p2_node], p1_node, chi_node)
return lexicon
def process(self, lexicon: Lexicon):
"""Build Démonette to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {'Vmn----': ('VERB', None),
'Ncms': ('NOUN', 'Gender:Masc', 'Number:Sing'),
'Ncmp': ('NOUN', 'Gender:Masc', 'Number:Plur'),
'Ncfs': ('NOUN', 'Gender:Fem', 'Number:Sing'),
'Ncfp': ('NOUN', 'Gender:Fem', 'Number:Plur'),
'Afpms': ('ADJ', 'Gender:Masc', 'Number:Sing',
'AdjType:Qualif', 'Degree:Pos')}
# add lemmas, morphological features and segmentation
for entry in harm:
feat = {}
if parse_pos[entry['pos']][1] is not None:
for f in parse_pos[entry['pos']][1:]:
key, value = f.split(':')
feat[key] = value
lid = entry['form'] + '#' + parse_pos[entry['pos']][0]
if parse_pos[entry['pos']][0] == 'NOUN':
lid += '#' + parse_pos[entry['pos']][1].replace('Gender:', '')
lexicon.create_lexeme(lemma=entry['form'],
pos=parse_pos[entry['pos']][0],
feats=feat,
lemid=lid)
if entry['seg'] != {''}:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'] + '#' + parse_pos[entry['pos']][0]
if c_pos[0] == 'NOUN':
c_lid += '#' + c_pos[1].replace('Gender:', '')
chi_node = lexicon.get_lexemes(lemma=entry['form'],
pos=c_pos[0],
lemid=c_lid)[0]
segmentations = tuple(entry['seg'])[0].split('#')
seg = list()
for s in segmentations:
_, afix, _ = s.split('|')
if afix not in seg:
seg.append(afix)
chi_node.misc['suffix'] = '|'.join(seg)
# add main relations and semantic labels,
# add other derivational relations and semantic labels,
# add references to splitted families
paradigm_lexemes = set()
for entry in harm:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'] + '#' + parse_pos[entry['pos']][0]
if c_pos[0] == 'NOUN':
c_lid += '#' + c_pos[1].replace('Gender:', '')
chi_node = lexicon.get_lexemes(lemma=entry['form'], pos=c_pos[0],
lemid=c_lid)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[0] == 'NOUN':
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos[0],
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
label = entry['parent'][1].replace('@', '').split('#')[1]
label = label.replace('|', '+')
chi_node.parent_relation.feats['SemanticLabel'] = label
if entry['others']: # TODO: change place to 9th colummn
parents = list()
for other in entry['others']:
p_form, p_pos = other[0][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[0] == 'NOUN':
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos[0],
lemid=p_lid)[0]
label = other[1].replace('@', '').split('#')[1]
label = label.replace('|', '+')
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
p = par_node.lemid + '&SemanticLabel=' + label
p += '&Type=Derivation'
parents.append(p)
if parents:
chi_node.misc['other_parents'] = '|'.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
p_form, p_pos = ref.split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos[0]
if p_pos[0] == 'NOUN':
p_lid += '#' + p_pos[1].replace('Gender:', '')
par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos[0],
lemid=p_lid)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
if entry['inparadigm'] != {''}:
[paradigm_lexemes.add(i) for i in entry['inparadigm']]
# paradigm = list()
# for pdg in tuple(entry['inparadigm'])[0].split('|'):
# p_form, p_pos = pdg.split('_')
# p_pos = parse_pos[p_pos]
# p_lid = p_form + '#' + p_pos[0]
# if p_pos[0] == 'NOUN':
# p_lid += '#' + p_pos[1].replace('Gender:', '')
# par_node = lexicon.get_lexemes(lemma=p_form, pos=p_pos[0],
# lemid=p_lid)
# if par_node:
# paradigm.append(par_node[0].lemid)
# chi_node.misc['in_subparadigm_with'] = '&'.join(paradigm)
# add the rest of lexemes related without any direction
for lemma in paradigm_lexemes:
if not lemma:
continue
lemma, pos = lemma.split('_')
feat = {}
if parse_pos[pos][1] is not None:
for f in parse_pos[pos][1:]:
key, value = f.split(':')
feat[key] = value
lid = lemma + '#' + parse_pos[pos][0]
if parse_pos[pos][0] == 'NOUN':
lid += '#' + parse_pos[pos][1].replace('Gender:', '')
lexemes = lexicon.get_lexemes(lemma=lemma, pos=parse_pos[pos][0])
if len(lexemes) == 0:
lexicon.create_lexeme(lemma=lemma,
pos=parse_pos[pos][0],
feats=feat,
lemid=lid)
return lexicon
# load derinet
cs_derinet = Lexicon()
cs_derinet.load(par.csder)
# load list of cognates
cognates = defaultdict(bool)
for path in (par.cog1, par.cog2):
with open(path, mode='r', encoding='U8') as f:
for line in f:
cognates[line.strip()] = True
# find families affected by cognates
affected_families = set()
for cognate in list(cognates):
lexemes = cs_derinet.get_lexemes(lemma=cognate)
if len(lexemes) == 0:
continue
for lexeme in lexemes:
affected_families.add(lexeme.get_tree_root())
# print families of relevant cognates
for root in affected_families:
for lexeme in root.iter_subtree():
lexeme_mark = lexeme.feats.get('Loanword', '')
cognate_mark = cognates.get(lexeme.lemma, False)
if cognate_mark:
print('',
str(cognate_mark),
'_'.join([lexeme.lemma, lexeme.pos]),
loanwords = OrderedDict()
with open(par.loan, mode='r', encoding='U8') as f:
for line in f:
lemma, tag, mark = line.rstrip('\n').split('\t')
loanwords['_'.join([lemma, tag])] = bool(mark.replace('False', ''))
# load derinet
cs_derinet = Lexicon()
cs_derinet.load(par.csder)
# correct loanword marks
for lexeme, mark in loanwords.items():
# find lexeme in derinet
node = cs_derinet.get_lexemes(lemma=lexeme.split('_')[0],
pos=lexeme.split('_')[1])[0]
# propriums and their subtrees are FALSE
if node.lemma[0].isupper():
loanwords['_'.join([node.lemma, node.pos])] = False
for node_child in node.iter_subtree():
loanwords['_'.join([node_child.lemma, node_child.pos])] = False
continue
# compounds and their subtrees are FALSE
if node.misc.get('is_compound', False) and \
any(c in node.lemma[2:-2] for c in {'oe', 'oa', 'oi', 'oo', 'ou',
'ie', 'ia', 'ii', 'io', 'iu'}):
foreign_parts = {'zoo', 'alkal', 'hygi', 'oxid', 'w', 'x', 'q',
'atheis', 'ateis', 'energ', 'imped', 'inženýr',
'admin', 'instal', 'region', 'organ', 'orgán',
def process(self, lexicon: Lexicon):
"""Build DerivBaseRU to DeriNet format."""
# load data
harm = pickle.load(open(self.fname, 'rb'))
parse_pos = {
'V': 'VERB',
'N': 'NOUN',
'D': 'ADV',
'A': 'ADJ',
'C': 'NUM'
}
# add lemmas and morphological features
for entry in harm:
lid = entry['form'] + '#' + parse_pos[entry['pos']]
lexicon.create_lexeme(lemma=entry['form'],
pos=parse_pos[entry['pos']],
lemid=lid)
# add main relations and rules,
# add other derivational relations and rules,
# add references to splitted families
for entry in harm:
c_pos = parse_pos[entry['pos']]
c_lid = entry['form'] + '#' + c_pos
chi_node = lexicon.get_lexemes(lemma=entry['form'],
pos=c_pos,
lemid=c_lid)[0]
if entry['parent']:
p_form, p_pos = entry['parent'][0][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
lexicon.add_derivation(source=par_node, target=chi_node)
# add rules
rules, proc = list(), list()
for item in entry['parent'][1].split('#'):
rul, pr = item.split('&')
rules.append(re.search(r'rule([0-9]*)', rul).group(1))
proc += pr.split(',')
chi_node.parent_relation.feats['Rule'] = ','.join(rules)
chi_node.parent_relation.feats['Process'] = ','.join(set(proc))
if entry['others']: # TODO: change place to 9th colummn
parents = list()
for other in entry['others']:
p_form, p_pos = other[0][0].split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
rules, proc = list(), list()
for item in other[1].split('#'):
rul, pr = item.split('&')
rules.append(re.search(r'rule([0-9]*)', rul).group(1))
proc += pr.split(',')
rules = ','.join(rules)
proc = ','.join(set(proc))
rl_par = chi_node.parent_relation
if (rl_par and par_node.lemid != rl_par.sources[0].lemid) \
or not rl_par:
p = par_node.lemid + '&Rule=' + rules
p += '&Process=' + proc + '&Type=Derivation'
parents.append(p)
if parents:
chi_node.misc['other_parents'] = ','.join(parents)
if entry['ref_roots']:
roots = list()
for ref in entry['ref_roots']:
p_form, p_pos = ref.split('_')
p_pos = parse_pos[p_pos]
p_lid = p_form + '#' + p_pos
par_node = lexicon.get_lexemes(lemma=p_form,
pos=p_pos,
lemid=p_lid)[0]
if par_node.lemid != chi_node.lemid:
roots.append(par_node.lemid)
if roots:
chi_node.misc['was_in_family_with'] = '&'.join(roots)
return lexicon