def encode_mrs(m):
varprops = {v: vd['props'] for v, vd in m._vars.items() if vd['props']}
attributes = {'cfrom': str(m.cfrom), 'cto': str(m.cto)}
if m.surface is not None:
attributes['surface'] = m.surface
if m.identifier is not None:
attributes['ident'] = m.identifier
e = etree.Element('mrs', attrib=attributes)
if m.top is not None:
e.append(encode_label(m.top))
if m.index is not None:
e.append(encode_variable(m.index, varprops))
for ep in elementarypredications(m):
e.append(encode_ep(ep, varprops))
for hcon in hcons(m):
e.append(encode_hcon(hcon))
for icon in icons(m):
e.append(encode_icon(icon))
return e
def contiguous_semantic_constituents(x):
"""
Yield semantic constituents whose preds come from contiguous words
in the source sentence (judged by the CFROM and CTO values).
"""
from delphin.mrs.components import elementarypredications
import delphin.mrs.path as mp
epmap = {ep.nodeid: ep for ep in elementarypredications(x)}
seen = set()
for p in mp.explore(x, method='headed', flags=mp.DEFAULT | mp.UND | mp.B):
pnids = tuple(sorted(mp.get_nodeids(p)))
if 0 in pnids or pnids in seen:
continue # ignore paths with TOP or already yielded paths
eps = [epmap[nid] for nid in pnids]
cfrom = min(ep.cfrom for ep in eps)
cto = max(ep.cto for ep in eps)
span = sorted(
(e for e in epmap.values() if e.cfrom >= cfrom and e.cto <= cto),
key=lambda e: e.nodeid)
if eps == span:
seen.add(pnids)
yield pnids
def contiguous_semantic_constituents(x):
"""
Yield semantic constituents whose preds come from contiguous words
in the source sentence (judged by the CFROM and CTO values).
"""
from delphin.mrs.components import elementarypredications
import delphin.mrs.path as mp
epmap = {ep.nodeid: ep for ep in elementarypredications(x)}
seen = set()
for p in mp.explore(x, method='headed', flags=mp.DEFAULT|mp.UND|mp.B):
pnids = tuple(sorted(mp.get_nodeids(p)))
if 0 in pnids or pnids in seen:
continue # ignore paths with TOP or already yielded paths
eps = [epmap[nid] for nid in pnids]
cfrom = min(ep.cfrom for ep in eps)
cto = max(ep.cto for ep in eps)
span = sorted(
(e for e in epmap.values() if e.cfrom >= cfrom and e.cto <= cto),
key=lambda e: e.nodeid
)
if eps == span:
seen.add(pnids)
yield pnids
