def fix_nongap_extraction(self, _, n, pred, k):
node = n
debug("Fixing nongap extraction: %s", pprint(node))
debug("k %s", pprint(k))
self.remove_null_element(node)
index = get_trace_index_from_tag(k.tag)
expr = (
r'*=PP < { *=P < { /[NPQ]P(?:-%(tags)s)?%(index)s/=T << ^/\*T\*/ $ *=S } }'
% {
'tags': ModifierTagsRegex,
'index': index
})
# we use "<<" in the expression, because fix_*_topicalisation comes
# before fix_nongap_extraction, and this can introduce an extra layer between
# the phrasal tag and the trace
for trace_NP, ctx in find_all(node, expr, with_context=True):
pp, p, t, s = ctx.pp, ctx.p, ctx.t, ctx.s
# remove T from P
# replace P with S
self.fix_object_gap(pp, p, t, s)
if not self.relabel_relativiser(pred):
top, context = get_first(node,
r'/[ICV]P/=TOP $ *=SS',
with_context=True)
ss = context.ss
debug("Creating null relativiser unary category: %s",
ss.category / ss.category)
replace_kid(
top.parent, top,
Node("NN", [top], ss.category / ss.category, head_index=0))
def fix_nongap_extraction(self, _, n, pred, k):
node = n
debug("Fixing nongap extraction: %s", pprint(node))
debug("k %s", pprint(k))
self.remove_null_element(node)
index = get_trace_index_from_tag(k.tag)
expr = (r'*=PP < { *=P < { /[NPQ]P(?:-%(tags)s)?%(index)s/=T << ^/\*T\*/ $ *=S } }'
% { 'tags': ModifierTagsRegex, 'index': index })
# we use "<<" in the expression, because fix_*_topicalisation comes
# before fix_nongap_extraction, and this can introduce an extra layer between
# the phrasal tag and the trace
for trace_NP, ctx in find_all(node, expr, with_context=True):
pp, p, t, s = ctx.pp, ctx.p, ctx.t, ctx.s
# remove T from P
# replace P with S
self.fix_object_gap(pp, p, t, s)
if not self.relabel_relativiser(pred):
top, context = get_first(node, r'/[ICV]P/=TOP $ *=SS', with_context=True)
ss = context.ss
debug("Creating null relativiser unary category: %s", ss.category/ss.category)
replace_kid(top.parent, top, Node("NN", [top], ss.category/ss.category, head_index=0))
def accept_derivation(self, bundle):
tree = bundle.derivation
print bundle.label()
print "-" * len(bundle.label())
print pprint(tree, sep=' ')
print
def accept_derivation(self, bundle):
tree = bundle.derivation
print bundle.label()
print "-" * len(bundle.label())
print pprint(tree, sep=' ')
print
def fix_long_bei_gap(self, node, bei, pred, top, n=None, reduced=False):
debug("Fixing long bei gap: %s", lrp_repr(node))
if not reduced:
self.remove_null_element(top)
if n:
index = get_trace_index_from_tag(n.tag)
else:
index = r'\*'
expr = r'*=PP < { *=P < { /NP-(?:TPC|OBJ)/=T < ^/%s/a $ *=S } }' % index
trace_NP, ctx = get_first(top, expr, with_context=True)
pp, p, t, s = ctx.pp, ctx.p, ctx.t, ctx.s
# remove T from P
# replace P with S
self.fix_object_gap(pp, p, t, s)
self.fix_categories_starting_from(s, until=top)
self.relabel_bei_category(top, pred)
top.category = top[0].category.left
debug("done %s", pprint(top))
def fix_topicalisation_with_gap(self, node, p, s, t):
debug("Fixing topicalisation with gap:\nnode=%s\ns=%s\nt=%s", lrp_repr(node), pprint(s), pprint(t))
# stop this method from matching again (in case there's absorption on the top node, cf 2:22(5))
t.tag = base_tag(t.tag, strip_cptb_tag=False)
# create topicalised category based on the tag of T
typeraise_t_category = ptb_to_cat(t)
# insert a node with the topicalised category
replace_kid(p, t, Node(
base_tag(t.tag, strip_cptb_tag=False),
[t],
typeraise(typeraise_t_category, S, TR_TOPICALISATION),
head_index=0))
index = get_trace_index_from_tag(t.tag)
# attested gaps:
# 575 IP-TPC:t
# 134 NP-TPC:t
# 10 IP-Q-TPC:t
# 8 CP-TPC:t
# 4 NP-PN-TPC:t
# 2 QP-TPC:t
# 2 NP-TTL-TPC:t
# 1 PP-TPC:t
# 1 IP-IJ-TPC:t
# 1 INTJ-TPC:t
# 1 CP-Q-TPC:t
# 1 CP-CND-TPC:t
expr = r'/IP/=TOP << { *=PP < { *=P < { /[NICQP]P-(?:SBJ|OBJ)/=T < ^/\*T\*%s/ $ *=S } } }' % index
for top, ctx in find_all(s, expr, with_context=True):
debug('top: %s', pprint(top))
self.fix_object_gap(ctx.pp, ctx.p, ctx.t, ctx.s)
self.fix_categories_starting_from(ctx.s, until=top)
def clusterfix(self, top, pp, p, s, t):
debug("Fixing argument cluster coordination: %s", pprint(top))
debug('T: %s', t)
# 1. Shrink the verb (node T)
self.fix_object_gap(pp, p, t, s)
# 2. Reattach the verb above the TOP node
new_node = Node('TAG', top.kids, top.category, head_index=0)
top.kids = [t, new_node]
# (Reattaching parent pointers)
for kid in new_node: kid.parent = new_node
# 3. Find and relabel argument clusters
for node, ctx in find_all(top, r'/VP/=VP <1 /NP/=NP <2 /(QP|V[PV])/=QP', with_context=True):
vp, np, qp = ctx.vp, ctx.np, ctx.qp
# Now, VP should have category ((S[dcl]\NP)/QP)/NP
SbNP = t.category.left.left
QP, NP = qp.category, np.category
# NP should have category ((S[dcl]\NP)/QP)\(((S[dcl]\NP)/QP)/NP)
new_np_category = (SbNP/QP)|((SbNP/QP)/NP)
# QP should have category ((S[dcl]\NP)\((S[dcl]\NP)/QP))
new_qp_category = (SbNP)|((SbNP)/QP)
# insert unary nodes
new_np_node = Node(np.tag, [np], new_np_category, head_index=0); np.parent = new_np_node
new_qp_node = Node(qp.tag, [qp], new_qp_category, head_index=0); qp.parent = new_qp_node
replace_kid(vp, np, new_np_node)
replace_kid(vp, qp, new_qp_node)
self.fix_categories_starting_from(new_np_node, top)
def clusterfix(self, top, pp, p, s, t):
debug("Fixing argument cluster coordination: %s", pprint(top))
debug('T: %s', t)
# 1. Shrink the verb (node T)
self.fix_object_gap(pp, p, t, s)
# 2. Reattach the verb above the TOP node
new_node = Node('TAG', top.kids, top.category, head_index=0)
top.kids = [t, new_node]
# (Reattaching parent pointers)
for kid in new_node:
kid.parent = new_node
# 3. Find and relabel argument clusters
for node, ctx in find_all(top,
r'/VP/=VP <1 /NP/=NP <2 /(QP|V[PV])/=QP',
with_context=True):
vp, np, qp = ctx.vp, ctx.np, ctx.qp
# Now, VP should have category ((S[dcl]\NP)/QP)/NP
SbNP = t.category.left.left
QP, NP = qp.category, np.category
# NP should have category ((S[dcl]\NP)/QP)\(((S[dcl]\NP)/QP)/NP)
new_np_category = (SbNP / QP) | ((SbNP / QP) / NP)
# QP should have category ((S[dcl]\NP)\((S[dcl]\NP)/QP))
new_qp_category = (SbNP) | ((SbNP) / QP)
# insert unary nodes
new_np_node = Node(np.tag, [np], new_np_category, head_index=0)
np.parent = new_np_node
new_qp_node = Node(qp.tag, [qp], new_qp_category, head_index=0)
qp.parent = new_qp_node
replace_kid(vp, np, new_np_node)
replace_kid(vp, qp, new_qp_node)
self.fix_categories_starting_from(new_np_node, top)
def fix_long_bei_gap(self, node, bei, pred, top, n=None, reduced=False):
debug("Fixing long bei gap: %s", lrp_repr(node))
if not reduced:
self.remove_null_element(top)
if n:
index = get_trace_index_from_tag(n.tag)
else:
index = r'\*'
expr = r'*=PP < { *=P < { /NP-(?:TPC|OBJ)/=T < ^/%s/a $ *=S } }' % index
trace_NP, ctx = get_first(top, expr, with_context=True)
pp, p, t, s = ctx.pp, ctx.p, ctx.t, ctx.s
# remove T from P
# replace P with S
self.fix_object_gap(pp, p, t, s)
self.fix_categories_starting_from(s, until=top)
self.relabel_bei_category(top, pred)
top.category = top[0].category.left
debug("done %s", pprint(top))
def fix_topicalisation_without_gap(self, node, p, s, t):
debug("Fixing topicalisation without gap: %s", pprint(node))
new_kid = copy(t)
new_kid.tag = base_tag(new_kid.tag, strip_cptb_tag=False)
new_category = featureless(p.category)/featureless(s.category)
replace_kid(p, t, Node(t.tag, [new_kid], new_category, head_index=0))
def fix_topicalisation_without_gap(self, node, p, s, t):
debug("Fixing topicalisation without gap: %s", pprint(node))
new_kid = copy(t)
new_kid.tag = base_tag(new_kid.tag, strip_cptb_tag=False)
new_category = featureless(p.category) / featureless(s.category)
replace_kid(p, t, Node(t.tag, [new_kid], new_category, head_index=0))
def view_deriv(env, start_response):
global node_index
node_index = 0
start_response('200 OK', [('Content-type', 'text/html')])
variables = env['selector.vars']
doc_id, deriv_id = int(variables['doc']), int(variables['deriv'])
filename = 'chtb_%04d.fid' % doc_id
doc = GuessReader(os.path.join(CORPORA_PATH, filename))
if doc:
bundle = doc[deriv_id]
body = ''
if bundle:
body += '<div id="tree">'
body += pprint(bundle.derivation,
sep=' ',
newline='<br/>',
node_repr=html_node_repr)
body += '</div>'
body += '<div id="main">'
for leaf, n in izip(
leaves(bundle.derivation, lambda e: not is_ignored(e)),
count()):
body += '''<span class="word"><span id="word%(index)d" onmouseover="$('pos').show();$('pos%(index)s').show();$('tree%(index)s').addClassName('highlighted');" onmouseout="$('tree%(index)s').removeClassName('highlighted');$('pos%(index)s').hide();$('pos').hide();">%(body)s</span></span>''' % {
'index': n,
'body': leaf.lex
}
body += prev_next_links(doc, doc_id, deriv_id)
body += '</div>'
body += '<div id="pos">'
body += '<span id="pos_display">'
for leaf, n in izip(
leaves(bundle.derivation, lambda e: not is_ignored(e)),
count()):
body += '<span id="pos%d" style="display:none">%s</span>' % (
n, leaf.tag)
body += '</span>'
body += '</div>'
yield layout(body)
else:
yield error_document()
else:
yield error_document()
def fix_topicalisation_with_gap(self, node, p, s, t):
debug("Fixing topicalisation with gap:\nnode=%s\ns=%s\nt=%s",
lrp_repr(node), pprint(s), pprint(t))
# stop this method from matching again (in case there's absorption on the top node, cf 2:22(5))
t.tag = base_tag(t.tag, strip_cptb_tag=False)
# create topicalised category based on the tag of T
typeraise_t_category = ptb_to_cat(t)
# insert a node with the topicalised category
replace_kid(
p, t,
Node(base_tag(t.tag, strip_cptb_tag=False), [t],
typeraise(typeraise_t_category, S, TR_TOPICALISATION),
head_index=0))
index = get_trace_index_from_tag(t.tag)
# attested gaps:
# 575 IP-TPC:t
# 134 NP-TPC:t
# 10 IP-Q-TPC:t
# 8 CP-TPC:t
# 4 NP-PN-TPC:t
# 2 QP-TPC:t
# 2 NP-TTL-TPC:t
# 1 PP-TPC:t
# 1 IP-IJ-TPC:t
# 1 INTJ-TPC:t
# 1 CP-Q-TPC:t
# 1 CP-CND-TPC:t
expr = r'/IP/=TOP << { *=PP < { *=P < { /[NICQP]P-(?:SBJ|OBJ)/=T < ^/\*T\*%s/ $ *=S } } }' % index
for top, ctx in find_all(s, expr, with_context=True):
debug('top: %s', pprint(top))
self.fix_object_gap(ctx.pp, ctx.p, ctx.t, ctx.s)
self.fix_categories_starting_from(ctx.s, until=top)
import psyco
psyco.full()
except ImportError: pass
from munge.ccg.parse import *
file = "final/%s" % sys.argv[1]
t=naive_label_derivation(parse_tree(open(file).readlines()[2*int(sys.argv[2])+1]))
print t
print "sent:"
print "-----"
print ' '.join(t.text())
deps = mkdeps(t)
print "deps:"
print "-----"
for l, r in deps: print "%s|%s" % (l, r)
print "leaves:"
print "-------"
for leaf in leaves(t):
print leaf.lex, leaf.cat
print "unhandled combs:"
print "----------------"
for comb in unanalysed:
print comb
print "finished:"
print pprint(t)
def show_pp_tree(match_node, bundle):
print pprint(bundle.derivation, focus=match_node)
def show_pp_node(match_node, bundle):
print pprint(match_node)
def show_pp_tree(match_node, bundle):
print pprint(bundle.derivation, focus=match_node)
def show_pp_node(match_node, bundle):
print pprint(match_node)
