def reshape_for_coordination(node, inside_np_internal_structure):
if node.count() >= 3:
# (XP PU) (CC XP)
# if we get contiguous PU CC, associate the PU with the previous conjunct
# but:
# XP (PU XP) (CC XP)
# XP (PU XP PU) (CC XP)
# the rule is:
# attach PU to the right _unless_ it is followed by CC
kid_tag = base_tag(node.tag, strip_cptb_tag=False)
kids = node.kids
seen_cc = False
last_kid, seen_cc = get_kid(kids, seen_cc)
second_last_kid, seen_cc = get_kid(kids, seen_cc)
cur = Node(kid_tag, [second_last_kid, last_kid], head_index=1)
while kids:
kid, seen_cc = get_kid(kids, seen_cc)
cur = Node(kid_tag, [kid, cur], head_index=1)
cur.tag = node.tag
return cur
return label_adjunction(node, inside_np_internal_structure=inside_np_internal_structure, do_labelling=False)
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 label_head_initial(node, inherit_tag=False):
if has_tag(node, 'c'): inherit_tag=False
kid_tag = strip_tag_if(not inherit_tag, node.tag)
kids = map(label_node, node.kids)[::-1]
first_kid, second_kid = twice(kids.pop)()
cur = Node(kid_tag, [first_kid, second_kid], head_index=0)
while kids:
kid = kids.pop()
cur = Node(kid_tag, [cur, kid], head_index=0)
cur.tag = node.tag
return cur
def label_predication(node, inherit_tag=False):
kid_tag = strip_tag_if(not inherit_tag, node.tag)
kids = map(label_node, node.kids)
last_kid, second_last_kid = twice(get_kid_)(kids)
cur = Node(kid_tag, [second_last_kid, last_kid], head_index=1)
while kids:
kid = get_kid_(kids)
cur = Node(kid_tag, [kid, cur], head_index=1)
cur.tag = node.tag # restore the full tag at the topmost level
return cur
def fix_ip_app(self, p, a, s):
debug("Fixing IP-APP NX: %s", lrp_repr(p))
new_kid = copy(a)
new_kid.tag = base_tag(
new_kid.tag) # relabel to stop infinite matching
replace_kid(
p, a, Node("NN", [new_kid], s.category / s.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 label_apposition(node, inherit_tag=False, inside_np_internal_structure=False):
kid_tag = strip_tag_if(not inherit_tag, node.tag)
kids = map(lambda node: label_node(node, inside_np_internal_structure=inside_np_internal_structure), node.kids)
last_kid = get_kid_(kids)
if kids:
second_last_kid = get_kid_(kids)
cur = Node(kid_tag, [second_last_kid, last_kid], head_index=1)
else:
cur = last_kid
while kids:
kid = get_kid_(kids)
cur = Node(kid_tag, [kid, cur], head_index=1)
cur.tag = node.tag
return cur
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_subject_extraction(self, _, n, pred, w=None, reduced=False):
global use_bare_N
debug("%s", reduced)
node = n
debug("Fixing subject extraction: %s", lrp_repr(node))
# We only want this if we are using the N -> NP unary rule
# This 'fix' lets us rewrite NP(WHNP CP) as NP(CP) with categories NP(N)
if use_bare_N and pred.tag.startswith('NP'):
# Fix for the NP(VP de) case:
# ---------------------------
# NP NP
# / \ |
# WHNP CP --> CP
# / \ / \
# IP DEC IP DEC
if not pred.is_leaf():
pred.kids.pop(0)
pred.head_index = 0
else:
if not reduced:
self.remove_null_element(node)
if w:
index = get_trace_index_from_tag(w.tag)
else:
index = ''
expr = r'*=PP < { *=P < { /NP-SBJ/=T << ^/\*T\*%s/ $ *=S } }' % index
for trace_NP, ctx in find_all(node, expr, with_context=True):
pp, p, t, s = ctx.pp, ctx.p, ctx.t, ctx.s
self.fix_object_gap(pp, p, t, s)
self.fix_categories_starting_from(s, until=node)
if not self.relabel_relativiser(pred):
# TOP is the shrunk VP
# after shrinking, we can get VV or VA here
# left_to_right so that we find the right node (used to match against the CP 已建成的 in 4:45(7))
result = get_first(
node,
r'{ /([ICV]P|V[VA]|VRD|VSB|VCD)/=TOP $ *=SS } ! > /([ICV]P|V[VA]|VRD|VSB|VCD)/',
with_context=True,
left_to_right=True)
if not result:
debug(
'Could not find verbal category; did not create null relativiser.'
)
return
top, context = result
SS = context.ss.category
debug("Creating null relativiser unary category: %s", SS / SS)
replace_kid(top.parent, top,
Node("NN", [top], SS / SS, head_index=0))
def fix_object_extraction(self, _, n, pred, w=None, reduced=False):
global use_bare_N
node = n
debug("Fixing object extraction: %s", lrp_repr(node))
# We only want this if we are using the N -> NP unary rule
# This 'fix' lets us rewrite NP(WHNP CP) as NP(CP) with categories NP(N)
if use_bare_N and pred.tag.startswith('NP'):
# Fix for the NP(VP de) case:
# ---------------------------
# NP NP
# / \ |
# WHNP CP --> CP
# / \ / \
# IP DEC IP DEC
if not pred.is_leaf():
pred.kids.pop(0)
pred.head_index = 0
else:
if not reduced:
self.remove_null_element(node)
if w:
index = get_trace_index_from_tag(w.tag)
else:
index = ''
expr = r'/[IC]P/=TOP << { *=PP < { *=P < { /NP-(OBJ|EXT)/=T << ^/\*T\*%s/ $ *=S } } }' % index
for trace_NP, ctx in find_all(node, expr, with_context=True):
top, pp, p, t, s = ctx.top, ctx.pp, ctx.p, ctx.t, ctx.s
self.fix_object_gap(pp, p, t, s)
self.fix_categories_starting_from(s, until=top)
# If we couldn't find the DEC node, this is the null relativiser case
if not self.relabel_relativiser(pred):
# TOP is the S node
# null relativiser category comes from sibling of TOP
# if TOP has no sibling, then we're likely inside a NP-PRD < CP reduced relative (cf 1:2(9))
result = get_first(top,
r'* $ *=SS',
with_context=True,
nonrecursive=True)
if result:
_, ctx = result
ss = ctx.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_modification(self, node, p, s, t):
debug("Fixing modification: %s", lrp_repr(node))
S, P = s.category, p.category
# If you don't strip the tag :m from the newly created child (new_kid),
# the fix_modification pattern will match infinitely when tgrep visits new_kid
new_kid = copy(t)
new_kid.tag = base_tag(new_kid.tag, strip_cptb_tag=False)
new_category = featureless(P) / featureless(S)
debug("Creating category %s", new_category)
replace_kid(p, t, Node(t.tag, [new_kid], new_category, head_index=0))
def label_adjunction(node, inherit_tag=False, do_labelling=True, inside_np_internal_structure=False):
kid_tag = strip_tag_if(not inherit_tag, node.tag)
if do_labelling:
kids = map(lambda node: label_node(node, inside_np_internal_structure=inside_np_internal_structure), node.kids)
else:
kids = node.kids
# last_kid, second_last_kid = twice(kids.pop)()
last_kid = get_kid_(kids)
if kids:
second_last_kid = get_kid_(kids)
cur = Node(kid_tag, [second_last_kid, last_kid], head_index=1)
else:
cur = last_kid
while kids:
kid = get_kid_(kids)
cur = Node(kid_tag, [kid, cur], head_index=1)
cur.tag = node.tag
return cur
def accept_derivation(self, bundle):
for node, ctx in find_all(bundle.derivation, expr, with_context=True):
u = ctx.n.lex.decode('u8')
if u[0] in baixing:
leaf = ctx.n
kids = [
Leaf(leaf.tag, u[0].encode('u8'), None),
Leaf(leaf.tag, u[1:].encode('u8'), None)
]
replace_kid(ctx.n.parent, ctx.n, Node('NR', kids))
#node.kids = kids
self.write_derivation(bundle)
def fix_rnr(self, rnr, g):
# G is the node dominating all the conjuncts
rnr_tags = []
for node, ctx in find_all(g, r'/:c/a', with_context=True):
for rnr in find_all(node, r'^/\*RNR\*/'):
rnr_tags.append(get_trace_index_from_tag(rnr.lex))
for index in rnr_tags:
for node, ctx in find_all(
g,
r'*=PP < { *=P < { *=T < ^/\*RNR\*%s/ $ *=S } }' % index,
with_context=True):
inherit_tag(ctx.s, ctx.p)
self.fix_object_gap(ctx.pp, ctx.p, ctx.t, ctx.s)
self.fix_categories_starting_from(ctx.s, g)
# This breaks with the IP (LC CC LC) case in 9:19(11) -- last_conjunct returns None
# because the last conjunct has been shrunk
last_conjunct = list(find_first(g, r'/:c/a', left_to_right=False))
args = []
# Here, we uniquify the rnr tags so that we excise each shared argument only once
for index in set(rnr_tags):
# find_first, because we only want to find one match, the shallowest.
# cf 7:27(10), if NP-OBJ-2(NN NP-OBJ-2(JJ NN)), then we only want to identify
# one matching node for index -2 -- the shallowest -- and not two.
for node, ctx in find_first(last_conjunct[0],
r'*=P < { /%s/a=T $ *=S }' % index,
with_context=True):
args.append(ctx.t)
# Note: last_conjunct may be disconnected from
# the tree by replace_kid (when ctx.p == last_conjunct)
replace_kid(ctx.p.parent, ctx.p, ctx.s)
self.fix_categories_starting_from(ctx.s, g)
# Because the find_all which retrieved the args is an in-order left-to-right traversal, it will find
# shallower nodes before deeper nodes. Therefore, if a verb has two args V A1 A2, the _args_ list will
# contain [A2, A1] because A2 is shallower (further from the head) than A1.
# We reverse the list of args, so that args are re-attached from the inside out (starting from A1).
# args.reverse()
new_g = g
for arg in args:
new_g = Node(new_g.tag, [new_g, arg],
new_g.category.left,
head_index=0)
arg.parent = new_g
replace_kid(g.parent, g, new_g)
def fix_whword_topicalisation(self, node, p, s, t):
debug('Fixing wh-word topicalisation: node: %s', lrp_repr(node))
# 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, SbNP, TR_TOPICALISATION),
head_index=0))
index = get_trace_index_from_tag(t.tag)
expr = r'*=PP < { /VP/=P < { /NP-(?:SBJ|OBJ)/=T < ^/\*T\*%s/ $ *=S } }' % index
for top, ctx in find_all(p, expr, with_context=True):
replace_kid(ctx.pp, ctx.p, ctx.s)
self.fix_categories_starting_from(ctx.s, until=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 fix_categories_starting_from(self, node, until):
'''Adjusts category labels from _node_ to _until_ (not inclusive) to obtain the correct
CCG analysis.'''
while node is not until:
# Only fix binary rules
if (not node.parent) or node.parent.count() < 2: break
l, r, p = node.parent[0], node.parent[1], node.parent
L, R, P = (n.category for n in (l, r, p))
debug("L: %s R: %s P: %s", L, R, P)
applied_rule = analyse(L, R, P)
debug("[ %s'%s' %s'%s' -> %s'%s' ] %s", L, ''.join(l.text()), R,
''.join(r.text()), P, ''.join(p.text()), applied_rule)
if applied_rule is None:
debug("invalid rule %s %s -> %s", L, R, P)
if R.is_complex() and R.left.is_complex(
) and L == R.left.right:
# L (X|L)|Y -> X|Y becomes
# X|(X|L) (X|L)|Y -> X|Y
T = R.left.left
new_category = typeraise(L, T, TR_FORWARD) #T/(T|L)
node.parent[0] = Node(l.tag, [l],
new_category,
head_index=0)
new_parent_category = fcomp(new_category, R)
if new_parent_category:
debug("new parent category: %s", new_parent_category)
p.category = new_parent_category
debug("New category: %s", new_category)
elif L.is_complex() and L.left.is_complex(
) and R == L.left.right:
# (X|R)|Y R -> X|Y becomes
# (X|R)|Y X|(X|R) -> X|Y
T = L.left.left
new_category = typeraise(R, T, TR_BACKWARD) #T|(T/R)
node.parent[1] = Node(r.tag, [r],
new_category,
head_index=0)
new_parent_category = bxcomp(L, new_category)
if new_parent_category:
debug("new parent category: %s", new_parent_category)
p.category = new_parent_category
debug("New category: %s", new_category)
# conj R -> P
# Make P into R[conj]
# L cannot be the comma category (,), otherwise we get a mis-analysis
# in 2:22(5)
if str(L) in ('conj', 'LCM'):
p.category = R.clone_adding_feature('conj')
debug("New category: %s", p.category)
# L R[conj] -> P
elif R.has_feature('conj'):
new_L = L.clone()
r.category = new_L.clone_adding_feature('conj')
p.category = new_L
debug("New category: %s", new_L)
elif L.is_leaf():
# , R -> P[conj] becomes , R -> R[conj]
if P.has_feature('conj') and l.tag in (
'PU', 'CC'): # treat as partial coordination
debug("Fixing coordination: %s" % P)
p.category = r.category.clone_adding_feature('conj')
debug("new parent category: %s" % p.category)
# , R -> P becomes , R -> R
elif l.tag == "PU" and not P.has_feature(
'conj'): # treat as absorption
debug("Fixing left absorption: %s" % P)
p.category = r.category
# L (X|L)|Y -> X|Y becomes
# X|(X|L) (X|L)|Y -> X|Y
elif R.is_complex() and R.left.is_complex(
) and L == R.left.right:
T = R.left.left
new_category = typeraise(L, T, TR_FORWARD) #T/(T|L)
node.parent[0] = Node(l.tag, [l],
new_category,
head_index=0)
new_parent_category = fcomp(new_category, R)
if new_parent_category:
debug("new parent category: %s",
new_parent_category)
p.category = new_parent_category
debug("New category: %s", new_category)
elif R.is_leaf():
# R , -> P becomes R , -> R
if r.tag == "PU": # treat as absorption
debug("Fixing right absorption: %s" % P)
p.category = l.category
# (X|R)|Y R -> X|Y becomes
# (X|R)|Y X|(X|R) -> X|Y
elif L.is_complex() and L.left.is_complex(
) and R == L.left.right:
T = L.left.left
new_category = typeraise(R, T, TR_BACKWARD) #T|(T/R)
node.parent[1] = Node(r.tag, [r],
new_category,
head_index=0)
new_parent_category = bxcomp(L, new_category)
if new_parent_category:
debug("new parent category: %s",
new_parent_category)
p.category = new_parent_category
debug("New category: %s", new_category)
else:
new_parent_category = None
# try typeraising fix
# T/(T/X) (T\A)/X -> T can be fixed:
# (T\A)/((T\A)/X) (T\A)/X -> T\A
if self.is_topicalisation(L) and (L.right.right == R.right
and P == L.left
and P == R.left.left):
T_A = R.left
X = R.right
l.category = T_A / (T_A / X)
new_parent_category = T_A
# (X|X)|Z Y -> X becomes
# (X|X)|Z X|(X|X) -> X|Z
elif L.is_complex() and L.left.is_complex(
) and R == L.left.right:
T = L.left.left
new_category = typeraise(
R, R, TR_BACKWARD, strip_features=False) #T/(T|L)
node.parent[1] = Node(r.tag, [r],
new_category,
head_index=0)
new_parent_category = bxcomp(L, new_category)
if new_parent_category:
debug("new parent category: %s",
new_parent_category)
p.category = new_parent_category
debug("New category: %s", new_category)
# Generalise over right modifiers of verbal categories (S[dcl]\X)$
elif self.is_verbal_category(
L) and L.is_complex() and L.left.is_complex():
T = L.left.right
new_category = typeraise(R, T, TR_BACKWARD)
debug('Trying out %s', new_category)
if bxcomp(L, new_category):
node.parent[1] = Node(r.tag, [r],
new_category,
head_index=0)
new_parent_category = bxcomp(L, new_category)
# Last ditch: try all of the composition rules to generalise over L R -> P
if not new_parent_category:
# having fxcomp creates bad categories in NP(IP DEC) construction (1:97(3))
# but, we need fxcomp to create the gap NP-TPC NP-SBJ(*T*) VP, so allow it when the rhs doesn't look like the DEC category
new_parent_category = (
fcomp(L, R)
or bcomp(L, R, when=not self.is_relativiser(R))
or bxcomp(
L, R, when=not self.is_relativiser(R)
) #or bxcomp2(L, R, when=self.is_verbal_category(L))
or fxcomp(L, R, when=not self.is_relativiser(R)))
if new_parent_category:
debug("new parent category: %s", new_parent_category)
p.category = new_parent_category
else:
debug("couldn't fix, skipping")
node = node.parent
debug('')
def preprocess(root):
# IP < PP PU -> PP < PP PU (20:58(1))
if root.count() == 2 and root[1].tag == 'PU' and root[0].tag.startswith('PP'): root.tag = root[0].tag
for node in nodes(root):
if node.is_leaf(): continue
if rewrite_lcp_as_np and node.tag.startswith('LCP'):
node.tag = node.tag.replace('LCP', 'NP')
first_kid, first_kid_index = get_nonpunct_kid(node, get_last=False)
last_kid, last_kid_index = get_nonpunct_kid(node, get_last=True)
# ---------------------
# Where LPU, RPU are paired punctuation, reshape YP(LPU ... XP RPU YP) into YP(XP(LPU ... XP) YP)
if any(kid.lex in ("“", "「") for kid in leaf_kids(node)) and any(kid.lex in ("”", "」") for kid in leaf_kids(node)):
lqu = first_index_such_that(lambda kid: kid.is_leaf() and kid.lex in ("“", "「"), node)
rqu = first_index_such_that(lambda kid: kid.is_leaf() and kid.lex in ("”", "」"), node)
if rqu != node.count()-1:
quoted_kids = node.kids[lqu:rqu+1]
del node.kids[lqu:rqu+1]
last_nonpunct_kid, _ = get_nonpunct_element(quoted_kids, get_last=True)
# Bad punctuation in 27:84(4) causes a mis-analysis, just ignore
if last_nonpunct_kid:
quoted_node = Node(last_nonpunct_kid.tag, quoted_kids)
node.kids.insert(lqu, quoted_node)
# CPTB/Chinese-specific fixes
# ---------------------------
# PP(P CP NP) in derivations like 5:11(3) should be PP(P NP(CP NP))
if first_kid and first_kid.tag == "P" and node.count() > 2:
last_tag = last_kid.tag
rest = node.kids[1:]
del node.kids[1:]
node.kids.append(Node(last_tag, rest, node))
# 2:12(3). DNP-PRD fixed by adding a layer of NP
elif (node.tag.startswith('VP') and node.count() == 2 and
node[0].tag.startswith('VC') and
node[1].tag.startswith('DNP-PRD')): node[1] = Node('NP', [node[1]], node)
# fix missing -OBJ tag from VP object complements (c.f. 31:18(4))
elif (node.tag.startswith('VP') and node.count() >= 2 and
node.tag.startswith('VP') and
node[0].tag == 'VV' and
node[-1].tag == 'NP'): node[-1].tag += "-OBJ"
# fix bad annotation IP < IP (2:7(28)), VP < VP (0:1(5))
elif any(is_repeated_unary_projection(xp, node) for xp in ('IP', 'VP', 'NP', 'CP')):
node.kids = node[0].kids
# treat DP-SBJ as QP-SBJ (6:37(9)): the rationale is that the determiner (e.g. 每) acts as a specifier,
# just like a quantity
elif node.tag == 'DP-SBJ':
node.tag = 'QP-SBJ'
# attach the PU preceding a PRN under the PRN
elif last_kid and last_kid.tag == 'PRN' and last_kid.count() == 1:
maybe_pu = node[last_kid_index-1]
if maybe_pu.tag == 'PU':
del node.kids[last_kid_index-1]
last_kid.kids.insert(0, maybe_pu) # prepend
# DEG instead of DEC (29:34(3)). if there's a trace in DEG's sibling and no DEC, then change DEG to DEC.
elif node.tag == 'CP' and node.count() == 2 and node[0].tag == 'IP' and node[1].tag == 'DEG':
if get_first(node[0], r'^/\*T\*/') and not get_first(node[0], r'/DEC/'):
node[1].tag = 'DEC'
elif node.tag.startswith('NP') and any(kid.tag.startswith('QP-APP') for kid in node):
for kid in node:
if kid.tag.startswith('QP-APP'): kid.tag = kid.tag.replace('QP', 'NP')
# NP(CP NP-APP NP-PN) -> NP(CP NP(NP-APP NP-PN)) so that NP(NP-APP NP-PN) can receive NP internal structure-type analysis
elif node.tag.startswith('NP') and node.count() == 3 and node[0].tag.startswith('CP') and node[1].tag.startswith('NP-APP') and node[2].tag.startswith('NP-PN'):
np_app, np_pn = node[1], node[2]
del node.kids[1:]
node.kids.append(Node(node.tag, [np_app, np_pn], node))
# IP < NP-SBJ ADVP VP rather than IP < NP-SBJ VP(ADVP VP) (25:59(12), 6:92(19))
elif node.tag == 'IP' and node.count() == 3 and node[0].tag == 'NP-SBJ' and node[1].tag == 'ADVP' and node[2].tag == 'VP':
advp = node.kids.pop(1)
# VP is the new node[1]
# now replace node[1] with Node(node[1])
node[1] = Node(node[1].tag, [advp, node[1]], node)
# fixing DNP(PN DEG), which causes mis-tagging DNP(PN:l DEG:h)
# only 3 cases: 23:61(5), 9:14(14), 21:3(11)
elif node.tag == 'DNP' and node.count() == 2 and node[0].tag == 'PN' and node[1].tag == 'DEG':
replace_kid(node, node[0], Node('NP', [node[0]]))
elif is_vnv(node) and node.count() == 3:
# Re-analyse VNV as coordination
node[1].tag = 'CC'
# fix mistaggings of the form ADVP < JJ (1:7(9)), NP < JJ (5:35(1))
elif node.count() == 1:
# fix IP < VP by adding *pro*
if node.tag.startswith('IP') and node[0].tag.startswith('VP'):
leaf = Leaf('-NONE-', '*pro*', None)
pro = Node('NP-SBJ', [leaf])
node.kids.insert(0, pro)
elif node[0].tag == 'JJ':
if node.tag.startswith('ADVP'):
node.tag = node.tag.replace('ADVP', 'ADJP')
elif node.tag.startswith('NP'):
node.tag = node.tag.replace('NP', 'ADJP')
# fix NP < VV
elif node.tag == 'NP' and node[0].tag == 'VV':
node.tag = node.tag.replace('NP', 'VP')
# fix NP < ADJP < JJ (5:35(1))
elif node.tag == 'NP' and node[0].tag == 'ADJP':
replace_kid(node.parent, node, node[0])
# fix projections NP < QP
elif node[0].tag.startswith('QP') and node.tag.startswith('NP'):
inherit_tag(node[0], node) # copy PCTB tags from NP to QP
node.tag = node[0].tag # copy QP to parent, replacing NP
node.kids = node[0].kids
elif node[0].tag == 'IP' and node.tag == 'CP-APP':
inherit_tag(node[0], node)
node.tag = node[0].tag
node.kids = node[0].kids
# CLP < NN
elif node[0].tag == 'NN' and node.tag == 'CLP':
node[0].tag = 'M'
elif node[0].tag == 'NN' and node.tag.startswith("VP"):
node[0].tag = 'VV'
elif node[0].tag == 'CP':
if node.tag == 'NP-PRD':
node.kids = node[0].kids
else:
# Rewrite NP < { CP < { CP < DEC } }
# (i.e. 比 报告 的 早 一点) so that it's headed by the 的
expr = r'''/CP/ < { /CP/ < /DEC/ }'''
if get_first(node[0], expr):
node.kids = node[0].kids
elif node[0].tag in ('NP', 'NP-PN', 'VP', 'IP') and node.tag == 'PRN':
node.kids = node[0].kids
# ADVP < CS: shrink so that CS will be considered the head by binarise
# CP < M: tagging error 7:14(8), 10:51(4), 11:13(32), 11:15(47)
elif ((node.tag == 'ADVP' and node[0].tag == 'CS') or
(node[0].tag == 'M' and node.tag == 'CP')):
replace_kid(node.parent, node, node[0])
# fix NP<DNP so that it's headed by the DEC 8:38(18), 0:30(4)
elif node.tag.startswith('NP') and node[0].tag.startswith('DNP'):
node.kids = node[0].kids
# elif node.tag == 'VP' and node[0].tag == 'NP-PRD':
# replace_kid(node.parent, node, node[0])
# couple of noisy derivs like 10:35(80), 10:26(121), 11:37(3)
# elif node.tag == 'VP' and node[0].tag.startswith('IP'):
# replace_kid(node.parent, node, node[0])
# Reshape LB (long bei)
# ---------------------
elif first_kid and first_kid.tag == "LB":
expr = r'''* < { /LB/=LB
[ $ { * < /-(SBJ|OBJ|PN)/a=SBJ < /(V[PV]|VRD|VSB)/=PRED }=IP
| $ { /CP/=CP < { *=IP < /-(SBJ|OBJ|PN)/a=SBJ < /(V[PV]|VRD|VSB)/=PRED } } ] }'''
top, ctx = get_first(node, expr, with_context=True)
lb, sbj, pred, cp, ip = ctx.lb, ctx.sbj, ctx.pred, ctx.cp, ctx.ip
top.kids = [lb, Node('IP', [sbj, pred])]
# top.kids = [lb, sbj, pred]
# elif False:
elif first_kid and first_kid.tag == "BA":
expr = r'''* < { /BA/=LB $ { /IP/ < /NP/=SBJ < /VP/=PRED } }'''
result = get_first(node, expr, with_context=True)
if result:
top, ctx = result
lb, sbj, pred, ip = ctx.lb, ctx.sbj, ctx.pred, ctx.ip
# top.kids = [lb, Node('IP', [sbj, pred])]
top.kids = [lb, sbj, pred]
# single mistagging CP-SBJ for CP in 24:58(1)
elif node.tag == 'CP-SBJ': node.tag = 'CP'
else:
# Fix missing phrasal layer in NP < NN DEG (21:10(4))
result = get_first(node, r'/DNP/=P < { /N[NRT]/=N $ /DEG/ }', with_context=True)
if result:
p, ctx = result
n = ctx.n
replace_kid(p, n, Node('NP', [n]))
# Fix missing phrasal layer in LCP < NN LC (11:17(9))
result = get_first(node, r'/LCP/=P < { /N[NRT]/=N $ /LC/ }', with_context=True)
if result:
p, ctx = result
n = ctx.n
replace_kid(p, n, Node('NP', [n]))
# Fix wrongly attached DEC (5:26(6))
result = get_first(node, r'/CP/=TOP < { /IP/=P < { /NP/ $ /VP/ $ /DEC/=DEC } }', with_context=True)
if result:
_, ctx = result
top, p, dec = ctx.top, ctx.p, ctx.dec
top.kids.append(dec)
p.kids.remove(dec)
result = get_first(node, r'*=PP < { /IP-TPC/=P <1 { /NP/=T < ^/\*PRO\*/ } <2 /VP/=S }', nonrecursive=True, with_context=True)
if result:
_, ctx = result
pp, p, s = ctx.pp, ctx.p, ctx.s
inherit_tag(s, p)
replace_kid(pp, p, s)
expr = r'''/VP/=VP <1 /VV/=V <2 { /IP-OBJ/ <1 /NP-SBJ/=SBJ <2 /VP/=PRED }'''
result = get_first(node, expr, with_context=True)
if result:
_, ctx = result
vp, v, sbj, pred = ctx.vp, ctx.v, ctx.sbj, ctx.pred
del vp.kids
if get_first(sbj, r'* < ^/\*PRO\*/'):
vp.kids = [v, pred]
else:
vp.kids = [v, sbj, pred]
expr = r'''/QP/=P <1 /CD/ <2 /CC/ <3 /CD/'''
result = get_first(node, expr, with_context=True)
if result:
_, ctx = result
p = ctx.p
if p.count() <= 3: continue
cd_cc_cd, rest = p.kids[0:3], p.kids[3:]
del p.kids[0:3]
new_node = Node('QP', cd_cc_cd)
p.kids.insert(0, new_node)
return root