nltk.sem.util module¶
Utility functions for batch-processing sentences: parsing and extraction of the semantic representation of the root node of the the syntax tree, followed by evaluation of the semantic representation in a first-order model.
- nltk.sem.util.demo_legacy_grammar()[source]¶
Check that interpret_sents() is compatible with legacy grammars that use a lowercase ‘sem’ feature.
Define ‘test.fcfg’ to be the following
- nltk.sem.util.evaluate_sents(inputs, grammar, model, assignment, trace=0)[source]¶
Add the truth-in-a-model value to each semantic representation for each syntactic parse of each input sentences.
- Parameters
inputs (list(str)) – a list of sentences
grammar (nltk.grammar.FeatureGrammar) –
FeatureGrammar
or name of feature-based grammar
- Returns
a mapping from sentences to lists of triples (parse-tree, semantic-representations, evaluation-in-model)
- Return type
list(list(tuple(nltk.tree.Tree, nltk.sem.logic.ConstantExpression, bool or dict(str): bool)))
- nltk.sem.util.interpret_sents(inputs, grammar, semkey='SEM', trace=0)[source]¶
Add the semantic representation to each syntactic parse tree of each input sentence.
- Parameters
inputs (list(str)) – a list of sentences
grammar (nltk.grammar.FeatureGrammar) –
FeatureGrammar
or name of feature-based grammar
- Returns
a mapping from sentences to lists of pairs (parse-tree, semantic-representations)
- Return type
list(list(tuple(nltk.tree.Tree, nltk.sem.logic.ConstantExpression)))
- nltk.sem.util.parse_sents(inputs, grammar, trace=0)[source]¶
Convert input sentences into syntactic trees.
- Parameters
inputs (list(str)) – sentences to be parsed
grammar (nltk.grammar.FeatureGrammar) –
FeatureGrammar
or name of feature-based grammar
- Return type
list(nltk.tree.Tree) or dict(list(str)): list(Tree)
- Returns
a mapping from input sentences to a list of
Tree
instances.