我们从Python开源项目中，提取了以下24个代码示例，用于说明如何使用nltk.Production()。
def _parse_productions(self): """ Parse the current contents of the textwidget buffer, to create a list of productions. """ productions = [] # Get the text, normalize it, and split it into lines. text = self._textwidget.get('1.0', 'end') text = re.sub(self.ARROW, '->', text) text = re.sub('\t', ' ', text) lines = text.split('\n') # Convert each line to a CFG production for line in lines: line = line.strip() if line=='': continue productions += _read_cfg_production(line) #if line.strip() == '': continue #if not CFGEditor._PRODUCTION_RE.match(line): # raise ValueError('Bad production string %r' % line) # #(lhs_str, rhs_str) = line.split('->') #lhs = Nonterminal(lhs_str.strip()) #rhs = [] #def parse_token(match, rhs=rhs): # token = match.group() # if token[0] in "'\"": rhs.append(token[1:-1]) # else: rhs.append(Nonterminal(token)) # return '' #CFGEditor._TOKEN_RE.sub(parse_token, rhs_str) # #productions.append(Production(lhs, *rhs)) return productions
def demo2(): from nltk import Nonterminal, Production, CFG nonterminals = 'S VP NP PP P N Name V Det' (S, VP, NP, PP, P, N, Name, V, Det) = [Nonterminal(s) for s in nonterminals.split()] productions = ( # Syntactic Productions Production(S, [NP, VP]), Production(NP, [Det, N]), Production(NP, [NP, PP]), Production(VP, [VP, PP]), Production(VP, [V, NP, PP]), Production(VP, [V, NP]), Production(PP, [P, NP]), Production(PP, []), Production(PP, ['up', 'over', NP]), # Lexical Productions Production(NP, ['I']), Production(Det, ['the']), Production(Det, ['a']), Production(N, ['man']), Production(V, ['saw']), Production(P, ['in']), Production(P, ['with']), Production(N, ['park']), Production(N, ['dog']), Production(N, ['statue']), Production(Det, ['my']), ) grammar = CFG(S, productions) text = 'I saw a man in the park'.split() d=CFGDemo(grammar, text) d.mainloop() ###################################################################### # Old Demo ######################################################################
def demo3(): from nltk import Production (S, VP, NP, PP, P, N, Name, V, Det) = \ nonterminals('S, VP, NP, PP, P, N, Name, V, Det') productions = ( # Syntactic Productions Production(S, [NP, VP]), Production(NP, [Det, N]), Production(NP, [NP, PP]), Production(VP, [VP, PP]), Production(VP, [V, NP, PP]), Production(VP, [V, NP]), Production(PP, [P, NP]), Production(PP, []), Production(PP, ['up', 'over', NP]), # Lexical Productions Production(NP, ['I']), Production(Det, ['the']), Production(Det, ['a']), Production(N, ['man']), Production(V, ['saw']), Production(P, ['in']), Production(P, ['with']), Production(N, ['park']), Production(N, ['dog']), Production(N, ['statue']), Production(Det, ['my']), ) t = Tk() def destroy(e, t=t): t.destroy() t.bind('q', destroy) p = ProductionList(t, productions) p.pack(expand=1, fill='both') p.add_callback('select', p.markonly) p.add_callback('move', p.markonly) p.focus() p.mark(productions[2]) p.mark(productions[8])
