def test_prob_rules():
check = {
'A': [(['B', 'C'], 0.3), (['D', 'E'], 0.7)],
'B': [(['E'], 0.1), (['a'], 0.2), (['b', 'c'], 0.7)]
}
rules = ProbRules(A="B C [0.3] | D E [0.7]",
B="E [0.1] | a [0.2] | b c [0.7]")
assert rules == check
def test_prob_generation():
lexicon = ProbLexicon(Verb="am [0.5] | are [0.25] | is [0.25]",
Pronoun="i [0.4] | you [0.3] | he [0.3]")
rules = ProbRules(
S="Verb [0.5] | More [0.3] | Pronoun [0.1] | nobody is here [0.1]",
More="Pronoun Verb [0.7] | Pronoun Pronoun [0.3]")
grammar = ProbGrammar("Simplegram", rules, lexicon)
sentence = grammar.generate_random('S')
assert len(sentence) == 2
def test_prob_grammar():
rules = ProbRules(A="B C [0.3] | D E [0.7]", B="E [0.1] | a [0.2] | b c [0.7]")
lexicon = ProbLexicon(Article="the [0.5] | a [0.25] | an [0.25]",
Pronoun="i [0.4] | you [0.3] | he [0.3]")
grammar = ProbGrammar("Simplegram", rules, lexicon)
assert grammar.rewrites_for('A') == [(['B', 'C'], 0.3), (['D', 'E'], 0.7)]
assert grammar.isa('the', 'Article')
grammar = nlp.E_Prob_Chomsky
for rule in grammar.cnf_rules():
assert len(rule) == 4