예제 #1
0
def demo():
    from nltk_lite.parse import cfg
    nonterminals = 'S VP NP PP P N Name V Det'
    (S, VP, NP, PP, P, N, Name, V, Det) = [cfg.Nonterminal(s)
                                           for s in nonterminals.split()]
    
    grammar = cfg.parse_grammar("""
    S -> NP VP
    PP -> P NP
    PP -> 'up' 'over' NP
    NP -> Det N
    NP -> NP PP
    VP -> V NP
    VP -> VP PP
    Det -> 'a'
    Det -> 'the'
    Det -> 'my'
    NP -> 'I'
    N -> 'dog'
    N -> 'man'
    N -> 'park'
    N -> 'statue'
    V -> 'saw'
    P -> 'in'
    P -> 'with'
    """)

    def cb(grammar): print grammar
    top = Tk()
    editor = CFGEditor(top, grammar, cb)
    Label(top, text='\nTesting CFG Editor\n').pack()
    Button(top, text='Quit', command=top.destroy).pack()
    top.mainloop()
예제 #2
0
def demo():
    """
    A demonstration showing how C{Grammar}s can be created and used.
    """

    from nltk_lite.parse import cfg

    # Create some nonterminals
    S, NP, VP, PP = cfg.nonterminals('S, NP, VP, PP')
    N, V, P, Det = cfg.nonterminals('N, V, P, Det')
    VP_slash_NP = VP/NP

    print 'Some nonterminals:', [S, NP, VP, PP, N, V, P, Det, VP/NP]
    print '    S.symbol() =>', `S.symbol()`
    print

    print cfg.Production(S, [NP])

    # Create some Grammar Productions
    grammar = cfg.parse_grammar("""
    S -> NP VP
    PP -> P NP
    NP -> Det N
    NP -> NP PP
    VP -> V NP
    VP -> VP PP
    Det -> 'a'
    Det -> 'the'
    N -> 'dog'
    N -> 'cat'
    V -> 'chased'
    V -> 'sat'
    P -> 'on'
    P -> 'in'
    """)

    print 'A Grammar:', `grammar`
    print '    grammar.start()       =>', `grammar.start()`
    print '    grammar.productions() =>',
    # Use string.replace(...) is to line-wrap the output.
    print `grammar.productions()`.replace(',', ',\n'+' '*25)
    print
예제 #3
0
파일: cfg.py 프로젝트: willowjar/scratchNLP
def demo():
    """
    A demonstration showing how C{Grammar}s can be created and used.
    """

    from nltk_lite.parse import cfg

    # Create some nonterminals
    S, NP, VP, PP = cfg.nonterminals('S, NP, VP, PP')
    N, V, P, Det = cfg.nonterminals('N, V, P, Det')
    VP_slash_NP = VP / NP

    print 'Some nonterminals:', [S, NP, VP, PP, N, V, P, Det, VP / NP]
    print '    S.symbol() =>', ` S.symbol() `
    print

    print cfg.Production(S, [NP])

    # Create some Grammar Productions
    grammar = cfg.parse_grammar("""
    S -> NP VP
    PP -> P NP
    NP -> Det N
    NP -> NP PP
    VP -> V NP
    VP -> VP PP
    Det -> 'a'
    Det -> 'the'
    N -> 'dog'
    N -> 'cat'
    V -> 'chased'
    V -> 'sat'
    P -> 'on'
    P -> 'in'
    """)

    print 'A Grammar:', ` grammar `
    print '    grammar.start()       =>', ` grammar.start() `
    print '    grammar.productions() =>',
    # Use string.replace(...) is to line-wrap the output.
    print ` grammar.productions() `.replace(',', ',\n' + ' ' * 25)
    print
from nltk_lite import tokenize
from nltk_lite.parse import cfg
from nltk_lite.draw.rdparser import RecursiveDescentDemo

productions = """
NP -> NP AND NP
NP -> N
N -> "cabbages"
N -> "kings"
AND -> "and"
"""
grammar = cfg.parse_grammar(productions)
text = list(tokenize.whitespace('cabbages and kings'))
RecursiveDescentDemo(grammar, text).mainloop()