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# Natural Language Toolkit: Semantic Interpretation
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ewan Klein <[email protected]>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
NLTK Semantic Interpretation Package
This package contains classes for representing semantic structure in
formulas of first-order logic and for evaluating such formulas in
set-theoretic models.
>>> from nltk.sem import logic
>>> logic._counter._value = 0
The package has two main components:
- ``logic`` provides support for analyzing expressions of First
Order Logic (FOL).
- ``evaluate`` allows users to recursively determine truth in a
model for formulas of FOL.
A model consists of a domain of discourse and a valuation function,
which assigns values to non-logical constants. We assume that entities
in the domain are represented as strings such as ``'b1'``, ``'g1'``,
etc. A ``Valuation`` is initialized with a list of (symbol, value)
pairs, where values are entities, sets of entities or sets of tuples
of entities.
The domain of discourse can be inferred from the valuation, and model
is then created with domain and valuation as parameters.
>>> from nltk.sem import Valuation, Model
>>> v = [('adam', 'b1'), ('betty', 'g1'), ('fido', 'd1'),
... ('girl', set(['g1', 'g2'])), ('boy', set(['b1', 'b2'])),
... ('dog', set(['d1'])),
... ('love', set([('b1', 'g1'), ('b2', 'g2'), ('g1', 'b1'), ('g2', 'b1')]))]
>>> val = Valuation(v)
>>> dom = val.domain
>>> m = Model(dom, val)
"""
from nltk.sem.boxer import Boxer
from nltk.sem.drt import DRS, DrtExpression
from nltk.sem.evaluate import (
Assignment,
Model,
Undefined,
Valuation,
arity,
is_rel,
read_valuation,
set2rel,
)
from nltk.sem.lfg import FStructure
from nltk.sem.logic import (
ApplicationExpression,
Expression,
LogicalExpressionException,
Variable,
binding_ops,
boolean_ops,
equality_preds,
read_logic,
)
from nltk.sem.relextract import clause, extract_rels, rtuple
from nltk.sem.skolemize import skolemize
from nltk.sem.util import evaluate_sents, interpret_sents, parse_sents, root_semrep
# from nltk.sem.glue import Glue
# from nltk.sem.hole import HoleSemantics
# from nltk.sem.cooper_storage import CooperStore
# don't import chat80 as its names are too generic
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