def makeSyntR(semR, checkSpecial=True):
# checkSpecial is False when called from within specialConcept.checkSpecialConcept
# to avoid infinite loop
traceSyntR("makeSyntR", semR)
concept = semR.concept
if concept == None: # l'instance réfère à un autre AMR
return instance2SyntR(semR)
if checkSpecial:
sConcept = specialConcept.checkSpecialConcept(semR)
if sConcept != None:
traceSyntR("special concept", concept)
return sConcept
# evaluate each role to build the environment
dictInfo = getSyntR(concept)
env = Env()
opts = Options()
roles = semR.get_roles()
if isVerb(concept): #only for verbs
# HACK for passive : seem to be too aggressive.... so we keep it only for top-level AMR
# generate a passive sentence if concept has an :ARG0 and the actual roles does not have :ARG0 but has :ARG1
# %% do not passivate the special case of bear-02 because it is already passive
if concept!="bear-02" and semR.parent==None and \
":ARG0" in verbs[concept].args and ":ARG0" not in semR.roles and ":ARG1" in semR.roles:
opts.add("typ", {"pas": True})
roleProcessing.processRoles(concept, roles, [], dictInfo, env, opts)
## patch the syntactic structures for frequent special cases
if isVerb(concept):
# HACK for changing nominative pronoun to accusative for :ARG1 when :ARG0 is also present
if ":ARG1" in env and ":ARG0" in env and isinstance(
env[":ARG1"], Pro) and env[":ARG1"].lemma == "I":
env[":ARG1"].lemma = "me"
elif isAdjective(concept): # adjective with :ARG0 and :ARG1
adj = dictInfo.lemma
if ":ARG0" in env and ":ARG1" in env:
if isinstance(env[":ARG0"], Pro) and env[":ARG0"].lemma == "me":
env[":ARG0"].lemma = "I"
if isinstance(env[":ARG1"], Pro) and env[":ARG1"].lemma == "I":
env[":ARG0"].lemma = "me"
dictInfo = LexSem(
adj, "S", [":ARG0", ":ARG1"], lambda arg0, arg1: S(
arg0, VP(V("be"), A(adj), pp("for", arg1))))
elif ":ARG1" in env and ":ARG2" in env:
if isinstance(env[":ARG1"], Pro) and env[":ARG1"].lemma == "me":
env[":ARG1"].lemma = "I"
if isinstance(env[":ARG2"], Pro) and env[":ARG2"].lemma == "I":
env[":ARG2"].lemma = "me"
dictInfo = LexSem(
adj, "S", [":ARG1", ":ARG2"], lambda arg1, arg2: S(
arg1, VP(V("be"), A(adj), pp("for", arg2))))
elif ":ARG1" in env:
if isinstance(env[":ARG1"], Pro) and env[":ARG1"].lemma == "me":
env[":ARG1"].lemma = "I"
dictInfo = LexSem(adj, "S", [":ARG1"],
lambda arg1: S(arg1, VP(V("be"), A(adj))))
syntR = dictInfo.apply(env, opts)
return syntR
def temp_trend(lang, trend, goalTemp, when):
if lang == "en":
return S(
N("temperature"),
VP(V(trend).t("pr"), PP(P("to"), jsrTemp(goalTemp, lang)), when))
else:
return S(
NP(N("température").n("p"), PP(P("à"), NP(D("le"), N(trend)))),
PP(P("pour"),
V("atteindre").t("b"), jsrTemp(goalTemp, lang), when))
def temperature(wInfo, period, lang):
temperature_terms = wInfo.get_temperature(period)
if temperature_terms == None: return None
maxTemp = get_max_term(temperature_terms, 0).infos[0]
minTemp = get_min_term(temperature_terms, 0).infos[0]
dn = "night" if period in ["tonight", "tomorrow_night"] else "day"
tempVals = wInfo.get_temperature_values(period)
periodName = periodNames[period][lang](wInfo.get_issue_date())
# checking for an abnormal temperature trend, either
# positive change of least 3°C during the night
# negative change of last 3°C during the day
(t1,t2,i1)=(maxTemp,minTemp,tempVals.index(minTemp)) if dn=="night" else\
(minTemp,maxTemp,tempVals.index(maxTemp))
# print("dn=",dn,"t1=",t1,"t2=",t2)
if t1 >= t2 + 3: # abnormal change time
if i1 <= 1:
return realize(jsrAbnormal[dn]["a"][lang](t1, periodName), lang,
False)
else:
if i1 < 6: # abnormality occurs during the first 6 hours of the period
rest = tempVals[i1:]
if all([abs(t - t1) <= 2 for t in rest]):
# c) remains +/- 2 for the rest of the period
return realize(jsrAbnormal[dn]["c"][lang](t1, periodName),
lang, False)
elif any([t - t1 > 2 for t in rest]):
# d) rises more than 2 for the rest
return realize(jsrAbnormal[dn]["d"][lang](t1, periodName),
lang, False)
elif any([t1 - t > 2 for t in rest]):
# e) falls more than 2 for the rest (this should never happen!!!)
return realize(jsrAbnormal[dn]["e"][lang](t1, periodName),
lang, False)
else:
# b) low temperature after the beginning (but no special case)
return realize(
jsrAbnormal[dn]["b"][lang](t1, jsrTemp(t2, lang)), lang,
False)
# normal case
res = []
if lang == "en": # output maximum temperature
res.append(realize(S(Adv("high"), jsrTemp(maxTemp, "en")), "en",
False))
else:
res.append(
realize(S(N("maximum"), jsrTemp(maxTemp, "fr")), "fr", False))
if minTemp < maxTemp - 2: # output minimum if it differs significantly from the maximum
if lang == "en":
res.append(
realize(S(Adv("low"), jsrTemp(minTemp, "en")), "en", False))
else:
res.append(
realize(S(N("minimum"), jsrTemp(minTemp, "fr")), "fr", False))
return " ".join(res)
def multisentence(concept,roles,env,opts):
traceSyntR("multisentence",concept)
# HACK: only works for :snt[1-9]
sntKeys=sorted([key for key in roles.keys() if re.fullmatch(r":snt\d",key)])
last=len(sntKeys)-1
multiS=S()
for i in range(len(sntKeys)):
si=S(makeSyntR(roles[sntKeys[i]])).cap("")
if i<last:si.a(".")
multiS.add(si)
return addRoles(concept, roles, sntKeys,LexSem("multi-sentence","S",[],lambda:multiS), env, opts)
def predicate(subject, attribute):
if attribute == None:
return S(subject, VP(V("be")))
if isinstance(subject, S):
syntR = subject.add(attribute)
else:
syntR = S(subject, VP(V("be"), attribute))
if isinstance(attribute, Phrase) and "typ" in attribute.props:
if "neg" in attribute.props[
"typ"] and attribute.props["typ"]["neg"] != False:
if "typ" not in syntR.props: syntR.props["typ"] = {}
syntR.props["typ"]["neg"] = attribute.props["typ"]["neg"]
return syntR
def apply(self, env=None, opts=None):
if env == None: env = Env()
if opts == None: opts = Options()
## process args from dictInfo building the list of arguments or None
argV = [env.get(arg) if arg in env else None for arg in self.args]
syntR = self.lambda_(*argV)
if all([arg == None for arg in argV]) and len(env) == 0:
return opts.apply(syntR)
if isinstance(syntR, Terminal):
if isinstance(syntR, A):
if ":ARG1" in env:
syntR = S(env.get(":ARG1"), VP(V("be"), syntR))
else:
syntR = AP(syntR)
elif isinstance(syntR, (Pro, Q, NO)):
syntR = SP(syntR)
elif isinstance(syntR, Adv):
syntR = AdvP(syntR)
elif isinstance(syntR, P):
syntR = PP(syntR)
else:
print("** apply: strange syntR:%s:%s" % (type(syntR), syntR))
syntR = SP(syntR)
## add unprocessed args
if len(env) > 0:
syntR.add(env.get(":start"), 0)
syntR.add(env.get(".*"))
return opts.apply(syntR)
def realize(jsrExpr,lang,addS=True):
if addS and not isinstance(jsrExpr,S):
jsrExpr=S(jsrExpr)
realization=jsRealB(jsrExpr.set_lang(lang).pp())
if savedJsrIO!=None:
savedJsrIO.append((jsrExpr.show(),realization))
return realization
def amr2text(amrString, trace=False):
if trace: print("*** AMR\n%s" % amrString)
amrs.append(amrString)
semR = SemanticRep.fromString(amrString)
print("*** Semantic Representation - with inverse roles\n%s" %
semR.prettyStr())
dereified = dereify(semR)
if dereified != None:
semR = dereified
if trace:
print("*** Semantic Representation - [dereified]\n%s" %
semR.prettyStr())
semR.elimInv() # transform inverse roles
if trace:
print("*** Semantic Representation\n%s" % semR.prettyStr())
# print("*** Baseline Generation\n%s"%semR.baselineGen())
syntR = SemR2SyntR.makeSyntR(semR)
if syntR is str:
return syntR
else:
if not isinstance(syntR, (S, Q)):
syntR = S(
syntR) # ensure that the complete output is a full sentence
if trace:
print("*** Syntactic Representation")
try:
print(syntR.show())
except Exception as e: ## for debugging the representation...
print(syntR.pp0())
raise e
return jsRealB(syntR.show(-1))
def havePurpose91(concept,roles,env,opts):
if ":ARG2" in roles:
if roles[":ARG2"].get_concept()=="amr-unknown":
env.put(":start",Q("For what ?"))
return addRoles(concept, roles, [],
LexSem("have-purpose","S",[":ARG1",":ARG2"],
lambda arg1,arg2:S(arg1,VP(V("be"),PP(P("for"),arg2)))), env, opts)
return None
def title_block(wInfo, lang):
issueDate = wInfo.get_issue_date()
noSecond = {"second": False}
if lang == "en":
s1 = S(
NP(N("forecast").n("p")),
VP(
V("issue").t("pp"),
PP(
P("by"), Q("jsRealB"),
DT(issueDate).dOpt(noSecond), P("for"),
CP(
C("and"), N("today"),
DT(issueDate + datetime.timedelta(days=1)).dOpt(
{"rtime": issueDate})))))
s2 = S(
NP(D("the"), D("next"),
V("schedule").t("pp"),
N("forecast").n("p")),
VP(
V("be").t("f"),
V("issue").t("pp"),
DT(wInfo.get_next_issue_date()).dOpt(noSecond)))
else:
s1 = S(
NP(N("prévision").n("p")),
VP(
V("émettre").t("pp"),
PP(
P("par"), Q("jsRealB"),
DT(issueDate).dOpt(noSecond), P("pour"),
CP(
C("et"), Adv("aujourd'hui"),
DT(issueDate + datetime.timedelta(days=1)).dOpt(
{"rtime": issueDate})))))
s2 = S(
NP(D("le"),
A("prochain").pos("pre"),
N("prévision").n("p")),
VP(
V("être").t("f"),
V("émettre").t("pp"),
DT(wInfo.get_next_issue_date()).dOpt(noSecond)))
return "\n".join([realize(s1, lang, False), realize(s2, lang, False)])
def haveRelRole91(concept,roles,env,opts):
traceSyntR("haveRelRole91",concept)
# syntR_A=makeSyntR(roles[":ARG0"]) if ":ARG0" in roles else None
syntR_B=makeSyntR(roles[":ARG1"]) if ":ARG1" in roles else None
if ":ARG2" in roles:
relation=makeSyntR(roles[":ARG2"])
if isinstance(syntR_B,Pro) and isinstance(relation,NP):
relation.elements[0]=makePoss(syntR_B.lemma)
return addRoles(concept, roles, [":ARG1",":ARG2"],
LexSem("relation","NP",[":ARG0"],lambda arg0:S(arg0,VP(V("be"),relation))), env, opts)
if syntR_B!=None:
dictInfo=LexSem("have-relation","S",[":ARG0",":ARG3",":ARG4"],
lambda arg0,arg3,arg4:S(arg0,VP(V("be"),relation,syntR_B,arg3,arg4)))
return addRoles(concept, roles, [":ARG1",":ARG2"], dictInfo, env, opts)
else:
return addRoles(concept, roles, [":ARG2"],LexSem("rel-role","NP",[],lambda:relation), env, opts)
else:
errorSyntR("haveRelRole91 with no :ARG2:\n%s"%concept)
return Q("*rel*")
jsrAbnormal = {
"night": {
"a": {
"en":
lambda t, _: temp_trend("en", "rise", t, PP(P("by"), N("morning"))
),
"fr":
lambda t, _: temp_trend("fr", "hausse", t, PP(
P("en"), N("matinée")))
},
"b": {
"en":
lambda t, u: S(
Adv("low"), u.a(","), P("with"),
temp_trend("en", "rise", t, PP(P("by"), N("morning")))),
"fr":
lambda t, u: S(
N("minimum"), u.a(","),
temp_trend("fr", "hausse", t, PP(P("en"), N("matinée"))))
},
"c": {
"en":
lambda t, p: temp_trend("en", "rise", t, p).add(
AdvP(Adv("then"), A("steady"))),
"fr":
lambda t, p: temp_trend("fr", "hausse", t, p).add(
PP(P("pour"), Adv("ensuite"),
V("demeurer").t("b"), A("stable")))
},
# coding=utf-8
from jsRealBclass import N,A,Pro,D,Adv,V,C,P,DT,NO,Q, NP,AP,AdvP,VP,CP,PP,S,SP, jsRealB, Terminal, Phrase,Constituent
from amrDicoGen import pp,optD, nouns,adjectives,verbs,adverbs,prepositions, verbalizations ,morphVerbalizations
from lexicalSemantics import LexSem, nounInfo,adjInfo,pp,optD
import utils
import copy,re
## function to build a noun syntR
dn = lambda det,arg: NP(D(det),arg) if arg!=None else None
cn = lambda conj,arg:S(C(conj),arg) if arg!=None else None
def addOptions(syntR,opts):
for (key,val) in opts.items():
getattr(syntR, key)(val)
return syntR
def delCat(dct,w):
if w in dct:del dct[w]
### Pronouns
pronounOptions = {
"I":{"pe":1},
"i":{"pe":1},
"me":{"pe":1},
"you":{"pe":2},
"he":{"pe":3,"g":"m"},
"she":{"pe":3,"g":"f"},
"it":{"pe":3,"g":"n"},
"we":{"pe":1,"n":"p"},
"they":{"pe":3,"n":"p"},
def wind(wInfo, period, lang):
wind_terms = wInfo.get_wind(period)
if wind_terms == None: return None
lastSpeed = None
lastDir = None
jsrExprs = []
for wind_term in wind_terms:
wSpeed = wind_term.infos[2]
wDir = wind_term.infos[0]
jsrExpr = S() # current expression
if wSpeed >= 15 and wDir in jsrWindDirection:
if lastSpeed != None and abs(
wSpeed - lastSpeed) >= 20: # significant speed change
lastSpeed = wSpeed
if lang == "en":
jsrExpr.add(
VP(V("increase").t("pr"), PP(P("to"), NO(wSpeed))))
else:
jsrExpr.add(
VP(V("augmenter").t("pr"), PP(P("à"), NO(wSpeed))))
elif lastDir != None and dir_diff(
wDir, lastDir): # significant direction change
if lang == "en":
jsrExpr.add(
VP(V("become").t("pr"), jsrWindDirection[wDir][lang]))
else:
jsrExpr.add(
VP(
V("devenir").t("pr"),
PP(P("de"), jsrWindDirection[wDir][lang])))
lastDir = wDir
else: # realize wind and direction
lastSpeed = wSpeed
lastDir = wDir
if lang == "en":
jsrExpr.add(
NP(N("wind"), jsrWindDirection[wDir][lang], NO(wSpeed),
Q("km/h")))
else:
jsrExpr.add(
NP(
N("vent").n("p"),
PP(P("de"), jsrWindDirection[wDir][lang]),
PP(P("de"), NO(wSpeed), Q("km/h"))))
if len(wind_term.infos) > 3: # add gusting information
gust = wind_term.infos[3]
if gust.infos[0] == 'gust':
if lang == "en":
jsrExpr.add(
VP(
V("gust").t("pr"),
PP(P("to"), NO(gust.infos[1]))))
else:
jsrExpr.add(
PP(
P("avec"),
NP(
N("rafale").n("p"), P("à"),
NO(gust.infos[1]))))
else: # add time information
jsrExpr.add(jsrHour(wind_term.start, lang))
jsrExprs.append(jsrExpr) # add current expression to the list
return " ".join(realize(jsrExpr, lang, False) for jsrExpr in jsrExprs)
## process args from dictInfo building the list of arguments or None
argV = [env.get(arg) if arg in env else None for arg in self.args]
syntR = self.lambda_(*argV)
if len(env) > 0:
## add unprocessed args
syntR.add(env.get(":start"), 0)
syntR.add(env.get(".*"))
return opts.apply(syntR)
pp = lambda prep, arg: PP(P(prep), arg) if arg != None else None
optD = lambda det: det if det != None else D("the")
verbs['give-01'] = LexSem(
"V", "give", [":ARG0", ":ARG1", ":ARG2"],
lambda arg0, arg1, arg2: S(arg0, VP(V("give"), arg1, pp("to", arg2))))
nouns['envelope'] = LexSem("envelope", "N", [":D", ":A"],
lambda d, a: NP(optD(d), a, N("envelope")))
nouns['boy'] = LexSem("boy", "N", [":D", ":A"],
lambda d, a: NP(optD(d), a, N("boy")))
nouns['girl'] = LexSem("girl", "N", [":D", ":A"],
lambda d, a: NP(optD(d), a, N("girl")))
adjectives["little"] = LexSem("little", "A", [], lambda: A("little"))
adjectives["nice"] = LexSem("nice", "A", [], lambda: A("nice"))
nounInfo = lambda lemma: LexSem(lemma, "N", [":D", ":A"], lambda d, a: NP(
optD(d), a, N(lemma)))
adjInfo = lambda lemma: LexSem(lemma, "A", [], lambda: A(lemma))
def pcpn(type,action,tense,moment,quantity=None,unit=None):
return S(type,
VP(V(action).t(tense),
CP(PP(P("in"),NP(D("the"),N(moment))),
None if quantity==None else NP(N("amount"),NP(NO(quantity),unit)))))
