repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
nltk-develop | nltk-develop/nltk/test/portuguese_en_fixt.py | def setup_module():
import pytest
pytest.skip("portuguese_en.doctest imports nltk.examples.pt which doesn't exist!")
| 126 | 24.4 | 86 | py |
nltk-develop | nltk-develop/nltk/test/all.py | """Test suite that runs all NLTK tests.
This module, `nltk.test.all`, is named as the NLTK ``test_suite`` in the
project's ``setup-eggs.py`` file. Here, we create a test suite that
runs all of our doctests, and return it for processing by the setuptools
test harness.
"""
import doctest
import os.path
import unittest... | 794 | 29.576923 | 80 | py |
nltk-develop | nltk-develop/nltk/test/gluesemantics_malt_fixt.py | def setup_module():
import pytest
from nltk.parse.malt import MaltParser
try:
depparser = MaltParser()
except (AssertionError, LookupError) as e:
pytest.skip("MaltParser is not available")
| 223 | 21.4 | 50 | py |
nltk-develop | nltk-develop/nltk/test/childes_fixt.py | def setup_module():
import pytest
import nltk.data
try:
nltk.data.find("corpora/childes/data-xml/Eng-USA-MOR/")
except LookupError as e:
pytest.skip(
"The CHILDES corpus is not found. "
"It should be manually downloaded and saved/unpacked "
"to [NLTK... | 359 | 24.714286 | 66 | py |
nltk-develop | nltk-develop/nltk/test/probability_fixt.py | # probability.doctest uses HMM which requires numpy;
# skip probability.doctest if numpy is not available
def setup_module():
import pytest
pytest.importorskip("numpy")
| 180 | 19.111111 | 52 | py |
nltk-develop | nltk-develop/nltk/test/gensim_fixt.py | def setup_module():
import pytest
pytest.importorskip("gensim")
| 73 | 13.8 | 33 | py |
nltk-develop | nltk-develop/nltk/test/classify_fixt.py | # most of classify.doctest requires numpy
def setup_module():
import pytest
pytest.importorskip("numpy")
| 114 | 18.166667 | 41 | py |
nltk-develop | nltk-develop/nltk/test/setup_fixt.py | from nltk.internals import find_binary, find_jar
def check_binary(binary: str, **args):
"""Skip a test via `pytest.skip` if the `binary` executable is not found.
Keyword arguments are passed to `nltk.internals.find_binary`."""
import pytest
try:
find_binary(binary, **args)
except LookupEr... | 886 | 31.851852 | 87 | py |
nltk-develop | nltk-develop/nltk/test/__init__.py | # Natural Language Toolkit: Unit Tests
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Unit tests for the NLTK modules. These tests are intended to ensure
that source code changes don't accidentally intro... | 469 | 23.736842 | 68 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_cfd_mutation.py | import unittest
import pytest
from nltk import ConditionalFreqDist, tokenize
class TestEmptyCondFreq(unittest.TestCase):
def test_tabulate(self):
empty = ConditionalFreqDist()
self.assertEqual(empty.conditions(), [])
with pytest.raises(ValueError):
empty.tabulate(conditions="... | 1,334 | 32.375 | 83 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_data.py | import pytest
import nltk.data
def test_find_raises_exception():
with pytest.raises(LookupError):
nltk.data.find("no_such_resource/foo")
def test_find_raises_exception_with_full_resource_name():
no_such_thing = "no_such_thing/bar"
with pytest.raises(LookupError) as exc:
nltk.data.find(n... | 375 | 22.5 | 57 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_distance.py | from typing import Tuple
import pytest
from nltk.metrics.distance import edit_distance
class TestEditDistance:
@pytest.mark.parametrize(
"left,right,substitution_cost,expecteds",
[
# Allowing transpositions reduces the number of edits required.
# with transpositions:
... | 5,710 | 42.930769 | 100 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_concordance.py | import contextlib
import sys
import unittest
from io import StringIO
from nltk.corpus import gutenberg
from nltk.text import Text
@contextlib.contextmanager
def stdout_redirect(where):
sys.stdout = where
try:
yield where
finally:
sys.stdout = sys.__stdout__
class TestConcordance(unittes... | 4,010 | 39.515152 | 95 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_tag.py | def test_basic():
from nltk.tag import pos_tag
from nltk.tokenize import word_tokenize
result = pos_tag(word_tokenize("John's big idea isn't all that bad."))
assert result == [
("John", "NNP"),
("'s", "POS"),
("big", "JJ"),
("idea", "NN"),
("is", "VBZ"),
... | 512 | 20.375 | 74 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_bllip.py | import pytest
from nltk.data import find
from nltk.parse.bllip import BllipParser
from nltk.tree import Tree
@pytest.fixture(scope="module")
def parser():
model_dir = find("models/bllip_wsj_no_aux").path
return BllipParser.from_unified_model_dir(model_dir)
def setup_module():
pytest.importorskip("bllip... | 1,073 | 23.976744 | 70 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_pl196x.py | import unittest
import nltk
from nltk.corpus.reader import pl196x
class TestCorpusViews(unittest.TestCase):
def test_corpus_reader(self):
pl196x_dir = nltk.data.find("corpora/pl196x")
pl = pl196x.Pl196xCorpusReader(
pl196x_dir, r".*\.xml", textids="textids.txt", cat_file="cats.txt"
... | 397 | 27.428571 | 78 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_hmm.py | import pytest
from nltk.tag import hmm
def _wikipedia_example_hmm():
# Example from wikipedia
# (https://en.wikipedia.org/wiki/Forward%E2%80%93backward_algorithm)
states = ["rain", "no rain"]
symbols = ["umbrella", "no umbrella"]
A = [[0.7, 0.3], [0.3, 0.7]] # transition probabilities
B = ... | 2,203 | 25.554217 | 73 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_seekable_unicode_stream_reader.py | import os
from io import BytesIO
import pytest
from nltk.corpus.reader import SeekableUnicodeStreamReader
def check_reader(unicode_string, encoding):
bytestr = unicode_string.encode(encoding)
stream = BytesIO(bytestr)
reader = SeekableUnicodeStreamReader(stream, encoding)
# Should open at the start... | 2,179 | 24.057471 | 70 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_util.py | import pytest
from nltk.util import everygrams
@pytest.fixture
def everygram_input():
"""Form test data for tests."""
return iter(["a", "b", "c"])
def test_everygrams_without_padding(everygram_input):
expected_output = [
("a",),
("a", "b"),
("a", "b", "c"),
("b",),
... | 1,806 | 20.771084 | 73 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_corpus_views.py | """
Corpus View Regression Tests
"""
import unittest
import nltk.data
from nltk.corpus.reader.util import (
StreamBackedCorpusView,
read_line_block,
read_whitespace_block,
)
class TestCorpusViews(unittest.TestCase):
linetok = nltk.LineTokenizer(blanklines="keep")
names = [
"corpora/inaug... | 1,552 | 30.693878 | 87 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_json_serialization.py | import unittest
from nltk.corpus import brown
from nltk.jsontags import JSONTaggedDecoder, JSONTaggedEncoder
from nltk.tag import (
AffixTagger,
BigramTagger,
BrillTagger,
BrillTaggerTrainer,
DefaultTagger,
NgramTagger,
PerceptronTagger,
RegexpTagger,
TrigramTagger,
UnigramTagge... | 3,539 | 35.875 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_cfg2chomsky.py | import unittest
import nltk
from nltk.grammar import CFG
class ChomskyNormalFormForCFGTest(unittest.TestCase):
def test_simple(self):
grammar = CFG.fromstring(
"""
S -> NP VP
PP -> P NP
NP -> Det N | NP PP P
VP -> V NP | VP PP
VP -> Det
... | 1,677 | 32.56 | 68 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_nombank.py | """
Unit tests for nltk.corpus.nombank
"""
import unittest
from nltk.corpus import nombank
# Load the nombank once.
nombank.nouns()
class NombankDemo(unittest.TestCase):
def test_numbers(self):
# No. of instances.
self.assertEqual(len(nombank.instances()), 114574)
# No. of rolesets
... | 733 | 25.214286 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_tgrep.py | #!/usr/bin/env python
#
# Natural Language Toolkit: TGrep search
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Will Roberts <wildwilhelm@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Unit tests for nltk.tgrep.
"""
import unittest
from nltk import tgrep
from nltk.tree ... | 30,928 | 38.601793 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_stem.py | import unittest
from contextlib import closing
from nltk import data
from nltk.stem.porter import PorterStemmer
from nltk.stem.snowball import SnowballStemmer
class SnowballTest(unittest.TestCase):
def test_arabic(self):
"""
this unit testing for test the snowball arabic light stemmer
thi... | 5,966 | 36.765823 | 91 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_pos_tag.py | """
Tests for nltk.pos_tag
"""
import unittest
from nltk import pos_tag, word_tokenize
class TestPosTag(unittest.TestCase):
def test_pos_tag_eng(self):
text = "John's big idea isn't all that bad."
expected_tagged = [
("John", "NNP"),
("'s", "POS"),
("big", "J... | 2,523 | 29.047619 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_senna.py | """
Unit tests for Senna
"""
import unittest
from os import environ, path, sep
from nltk.classify import Senna
from nltk.tag import SennaChunkTagger, SennaNERTagger, SennaTagger
# Set Senna executable path for tests if it is not specified as an environment variable
if "SENNA" in environ:
SENNA_EXECUTABLE_PATH = ... | 3,600 | 30.867257 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_collocations.py | from nltk.collocations import BigramCollocationFinder
from nltk.metrics import BigramAssocMeasures
## Test bigram counters with discontinuous bigrams and repeated words
_EPSILON = 1e-8
SENT = "this this is is a a test test".split()
def close_enough(x, y):
"""Verify that two sequences of n-gram association value... | 3,570 | 28.512397 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_freqdist.py | import nltk
def test_iterating_returns_an_iterator_ordered_by_frequency():
samples = ["one", "two", "two"]
distribution = nltk.FreqDist(samples)
assert list(distribution) == ["two", "one"]
| 203 | 24.5 | 62 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_brill.py | """
Tests for Brill tagger.
"""
import unittest
from nltk.corpus import treebank
from nltk.tag import UnigramTagger, brill, brill_trainer
from nltk.tbl import demo
class TestBrill(unittest.TestCase):
def test_pos_template(self):
train_sents = treebank.tagged_sents()[:1000]
tagger = UnigramTagger... | 990 | 27.314286 | 71 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_ribes.py | from nltk.translate.ribes_score import corpus_ribes, word_rank_alignment
def test_ribes_empty_worder(): # worder as in word order
# Verifies that these two sentences have no alignment,
# and hence have the lowest possible RIBES score.
hyp = "This is a nice sentence which I quite like".split()
ref = "... | 4,958 | 19.076923 | 82 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_corenlp.py | """
Mock test for Stanford CoreNLP wrappers.
"""
from unittest import TestCase
from unittest.mock import MagicMock
import pytest
from nltk.parse import corenlp
from nltk.tree import Tree
def setup_module(module):
global server
try:
server = corenlp.CoreNLPServer(port=9000)
except LookupError:
... | 57,196 | 38.803062 | 222 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_aline.py | """
Test Aline algorithm for aligning phonetic sequences
"""
from nltk.metrics import aline
def test_aline():
result = aline.align("θin", "tenwis")
expected = [[("θ", "t"), ("i", "e"), ("n", "n")]]
assert result == expected
result = aline.align("jo", "ʒə")
expected = [[("j", "ʒ"), ("o", "ə")]]
... | 1,074 | 20.938776 | 65 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_corpora.py | import unittest
import pytest
from nltk.corpus import ( # mwa_ppdb
cess_cat,
cess_esp,
conll2007,
floresta,
indian,
ptb,
sinica_treebank,
udhr,
)
from nltk.tree import Tree
class TestUdhr(unittest.TestCase):
def test_words(self):
for name in udhr.fileids():
w... | 9,535 | 33.676364 | 114 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_downloader.py | from nltk import download
def test_downloader_using_existing_parent_download_dir(tmp_path):
"""Test that download works properly when the parent folder of the download_dir exists"""
download_dir = str(tmp_path.joinpath("another_dir"))
download_status = download("mwa_ppdb", download_dir)
assert downlo... | 722 | 35.15 | 101 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_rte_classify.py | import pytest
from nltk import config_megam
from nltk.classify.rte_classify import RTEFeatureExtractor, rte_classifier, rte_features
from nltk.corpus import rte as rte_corpus
expected_from_rte_feature_extration = """
alwayson => True
ne_hyp_extra => 0
ne_overlap => 1
neg_hyp => 0
neg_txt ... | 2,671 | 27.126316 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_classify.py | """
Unit tests for nltk.classify. See also: nltk/test/classify.doctest
"""
import pytest
from nltk import classify
TRAIN = [
(dict(a=1, b=1, c=1), "y"),
(dict(a=1, b=1, c=1), "x"),
(dict(a=1, b=1, c=0), "y"),
(dict(a=0, b=1, c=1), "x"),
(dict(a=0, b=1, c=1), "y"),
(dict(a=0, b=0, c=1), "y"),
... | 1,288 | 24.78 | 70 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_chunk.py | import unittest
from nltk import RegexpParser
class TestChunkRule(unittest.TestCase):
def test_tag_pattern2re_pattern_quantifier(self):
"""Test for bug https://github.com/nltk/nltk/issues/1597
Ensures that curly bracket quantifiers can be used inside a chunk rule.
This type of quantifier... | 2,134 | 23.825581 | 79 | py |
nltk-develop | nltk-develop/nltk/test/unit/__init__.py | 0 | 0 | 0 | py | |
nltk-develop | nltk-develop/nltk/test/unit/test_metrics.py | import unittest
from nltk.metrics import (
BigramAssocMeasures,
QuadgramAssocMeasures,
TrigramAssocMeasures,
)
## Test the likelihood ratio metric
_DELTA = 1e-8
class TestLikelihoodRatio(unittest.TestCase):
def test_lr_bigram(self):
self.assertAlmostEqual(
BigramAssocMeasures.li... | 1,883 | 27.119403 | 81 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_tokenize.py | """
Unit tests for nltk.tokenize.
See also nltk/test/tokenize.doctest
"""
from typing import List, Tuple
import pytest
from nltk.tokenize import (
LegalitySyllableTokenizer,
StanfordSegmenter,
SyllableTokenizer,
TreebankWordTokenizer,
TweetTokenizer,
punkt,
sent_tokenize,
word_tokenize... | 27,969 | 30.533258 | 341 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_disagreement.py | import unittest
from nltk.metrics.agreement import AnnotationTask
class TestDisagreement(unittest.TestCase):
"""
Class containing unit tests for nltk.metrics.agreement.Disagreement.
"""
def test_easy(self):
"""
Simple test, based on
https://github.com/foolswood/krippendorffs... | 4,317 | 28.77931 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_twitter_auth.py | """
Tests for static parts of Twitter package
"""
import os
import pytest
pytest.importorskip("twython")
from nltk.twitter import Authenticate
@pytest.fixture
def auth():
return Authenticate()
class TestCredentials:
"""
Tests that Twitter credentials from a file are handled correctly.
"""
@... | 2,432 | 30.192308 | 94 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_wordnet.py | """
Unit tests for nltk.corpus.wordnet
See also nltk/test/wordnet.doctest
"""
import unittest
from nltk.corpus import wordnet as wn
from nltk.corpus import wordnet_ic as wnic
wn.ensure_loaded()
S = wn.synset
L = wn.lemma
class WordnNetDemo(unittest.TestCase):
def test_retrieve_synset(self):
move_synset ... | 9,018 | 36.423237 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_json2csv_corpus.py | # Natural Language Toolkit: Twitter client
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Lorenzo Rubio <lrnzcig@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Regression tests for `json2csv()` and `json2csv_entities()` in Twitter
package.
"""
from pathlib import Path
imp... | 5,678 | 25.914692 | 84 | py |
nltk-develop | nltk-develop/nltk/test/unit/test_naivebayes.py | import unittest
from nltk.classify.naivebayes import NaiveBayesClassifier
class NaiveBayesClassifierTest(unittest.TestCase):
def test_simple(self):
training_features = [
({"nice": True, "good": True}, "positive"),
({"bad": True, "mean": True}, "negative"),
]
class... | 743 | 32.818182 | 74 | py |
nltk-develop | nltk-develop/nltk/test/unit/lm/test_vocabulary.py | # Natural Language Toolkit: Language Model Unit Tests
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ilia Kurenkov <ilia.kurenkov@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import unittest
from collections import Counter
from timeit import timeit
from nltk.lm import Vocab... | 5,761 | 35.700637 | 87 | py |
nltk-develop | nltk-develop/nltk/test/unit/lm/test_models.py | # Natural Language Toolkit: Language Model Unit Tests
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ilia Kurenkov <ilia.kurenkov@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import math
from operator import itemgetter
import pytest
from nltk.lm import (
MLE,
Absolu... | 19,546 | 30.991817 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/lm/test_counter.py | # Natural Language Toolkit: Language Model Unit Tests
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ilia Kurenkov <ilia.kurenkov@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import unittest
import pytest
from nltk import FreqDist
from nltk.lm import NgramCounter
from nltk... | 3,775 | 31.273504 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/lm/test_preprocessing.py | # Natural Language Toolkit: Language Model Unit Tests
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ilia Kurenkov <ilia.kurenkov@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import unittest
from nltk.lm.preprocessing import padded_everygram_pipeline
class TestPreprocessin... | 969 | 30.290323 | 80 | py |
nltk-develop | nltk-develop/nltk/test/unit/lm/__init__.py | 0 | 0 | 0 | py | |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_nist.py | """
Tests for NIST translation evaluation metric
"""
import io
import unittest
from nltk.data import find
from nltk.translate.nist_score import corpus_nist
class TestNIST(unittest.TestCase):
def test_sentence_nist(self):
ref_file = find("models/wmt15_eval/ref.ru")
hyp_file = find("models/wmt15_e... | 1,609 | 42.513514 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm_model.py | """
Tests for common methods of IBM translation models
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel(unittest.TestCase):
__TEST_SRC_SENTENCE = ["j'", "aime", "bien", "jambon"]
__T... | 9,403 | 33.82963 | 88 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_gdfa.py | """
Tests GDFA alignments
"""
import unittest
from nltk.translate.gdfa import grow_diag_final_and
class TestGDFA(unittest.TestCase):
def test_from_eflomal_outputs(self):
"""
Testing GDFA with first 10 eflomal outputs from issue #1829
https://github.com/nltk/nltk/issues/1829
"""
... | 4,616 | 28.787097 | 181 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm4.py | """
Tests for IBM Model 4 training methods
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel, IBMModel4
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel4(unittest.TestCase):
def test_set_uniform_distortion_probabilities_of_max_displacem... | 5,084 | 41.024793 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm2.py | """
Tests for IBM Model 2 training methods
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel, IBMModel2
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel2(unittest.TestCase):
def test_set_uniform_alignment_probabilities(self):
# ... | 3,286 | 36.781609 | 80 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm3.py | """
Tests for IBM Model 3 training methods
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel, IBMModel3
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel3(unittest.TestCase):
def test_set_uniform_distortion_probabilities(self):
#... | 4,078 | 37.481132 | 80 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_meteor.py | import unittest
from nltk.translate.meteor_score import meteor_score
class TestMETEOR(unittest.TestCase):
reference = [["this", "is", "a", "test"], ["this", "is" "test"]]
candidate = ["THIS", "Is", "a", "tEST"]
def test_meteor(self):
score = meteor_score(self.reference, self.candidate, preproces... | 730 | 33.809524 | 82 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm5.py | """
Tests for IBM Model 5 training methods
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel, IBMModel4, IBMModel5
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel5(unittest.TestCase):
def test_set_uniform_vacancy_probabilities_of_max_d... | 6,594 | 39.962733 | 85 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_bleu.py | """
Tests for BLEU translation evaluation metric
"""
import io
import unittest
from nltk.data import find
from nltk.translate.bleu_score import (
SmoothingFunction,
brevity_penalty,
closest_ref_length,
corpus_bleu,
modified_precision,
sentence_bleu,
)
class TestBLEU(unittest.TestCase):
d... | 15,469 | 37.103448 | 99 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/__init__.py | 0 | 0 | 0 | py | |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_ibm1.py | """
Tests for IBM Model 1 training methods
"""
import unittest
from collections import defaultdict
from nltk.translate import AlignedSent, IBMModel, IBMModel1
from nltk.translate.ibm_model import AlignmentInfo
class TestIBMModel1(unittest.TestCase):
def test_set_uniform_translation_probabilities(self):
... | 2,593 | 34.054054 | 87 | py |
nltk-develop | nltk-develop/nltk/test/unit/translate/test_stack_decoder.py | # Natural Language Toolkit: Stack decoder
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Tah Wei Hoon <hoon.tw@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Tests for stack decoder
"""
import unittest
from collections import defaultdict
from math import log
from nltk.tr... | 9,706 | 31.905085 | 84 | py |
nltk-develop | nltk-develop/nltk/sentiment/sentiment_analyzer.py | #
# Natural Language Toolkit: Sentiment Analyzer
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Pierpaolo Pantone <24alsecondo@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A SentimentAnalyzer is a tool to implement and facilitate Sentiment Analysis tasks
using NLTK featu... | 10,177 | 38.757813 | 89 | py |
nltk-develop | nltk-develop/nltk/sentiment/util.py | #
# Natural Language Toolkit: Sentiment Analyzer
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Pierpaolo Pantone <24alsecondo@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Utility methods for Sentiment Analysis.
"""
import codecs
import csv
import json
import pickle
imp... | 30,388 | 33.221847 | 112 | py |
nltk-develop | nltk-develop/nltk/sentiment/vader.py | # Natural Language Toolkit: vader
#
# Copyright (C) 2001-2023 NLTK Project
# Author: C.J. Hutto <Clayton.Hutto@gtri.gatech.edu>
# Ewan Klein <ewan@inf.ed.ac.uk> (modifications)
# Pierpaolo Pantone <24alsecondo@gmail.com> (modifications)
# George Berry <geb97@cornell.edu> (modifications)
# ... | 21,131 | 32.33123 | 88 | py |
nltk-develop | nltk-develop/nltk/sentiment/__init__.py | # Natural Language Toolkit: Sentiment Analysis
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Ewan Klein <ewan@inf.ed.ac.uk>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
NLTK Sentiment Analysis Package
"""
from nltk.sentiment.sentiment_analyzer import SentimentAnalyzer
from nltk.s... | 369 | 25.428571 | 63 | py |
nltk-develop | nltk-develop/nltk/metrics/paice.py | # Natural Language Toolkit: Agreement Metrics
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Lauri Hallila <laurihallila@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
#
"""Counts Paice's performance statistics for evaluating stemming algorithms.
What is required:
- A dictio... | 14,350 | 35.797436 | 123 | py |
nltk-develop | nltk-develop/nltk/metrics/association.py | # Natural Language Toolkit: Ngram Association Measures
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Joel Nothman <jnothman@student.usyd.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Provides scoring functions for a number of association measures through a
generic, abstract... | 16,093 | 32.740042 | 116 | py |
nltk-develop | nltk-develop/nltk/metrics/aline.py | # Natural Language Toolkit: ALINE
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Greg Kondrak <gkondrak@ualberta.ca>
# Geoff Bacon <bacon@berkeley.edu> (Python port)
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
ALINE
https://webdocs.cs.ualberta.ca/~kondrak/
Copyright 2002 b... | 31,348 | 22.135793 | 88 | py |
nltk-develop | nltk-develop/nltk/metrics/spearman.py | # Natural Language Toolkit: Spearman Rank Correlation
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Joel Nothman <jnothman@student.usyd.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Tools for comparing ranked lists.
"""
def _rank_dists(ranks1, ranks2):
"""Finds the di... | 2,129 | 29.869565 | 78 | py |
nltk-develop | nltk-develop/nltk/metrics/segmentation.py | # Natural Language Toolkit: Text Segmentation Metrics
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# David Doukhan <david.doukhan@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Text S... | 6,999 | 30.390135 | 87 | py |
nltk-develop | nltk-develop/nltk/metrics/scores.py | # Natural Language Toolkit: Evaluation
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import operator
from functools import reduce
from math import fabs
from rand... | 7,694 | 32.60262 | 88 | py |
nltk-develop | nltk-develop/nltk/metrics/agreement.py | # Natural Language Toolkit: Agreement Metrics
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Tom Lippincott <tom@cs.columbia.edu>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
#
"""
Implementations of inter-annotator agreement coefficients surveyed by Artstein
and Poesio (2007), Inter-C... | 15,956 | 33.242489 | 130 | py |
nltk-develop | nltk-develop/nltk/metrics/confusionmatrix.py | # Natural Language Toolkit: Confusion Matrices
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# Tom Aarsen <>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
from nltk.probability import FreqDist
clas... | 12,682 | 34.827684 | 86 | py |
nltk-develop | nltk-develop/nltk/metrics/__init__.py | # Natural Language Toolkit: Metrics
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Steven Bird <stevenbird1@gmail.com>
# Edward Loper <edloper@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
#
"""
NLTK Metrics
Classes and methods for scoring processing modules.
"""
fr... | 1,192 | 21.942308 | 57 | py |
nltk-develop | nltk-develop/nltk/metrics/distance.py | # Natural Language Toolkit: Distance Metrics
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# Tom Lippincott <tom@cs.columbia.edu>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
#
"""
Distance Metrics.... | 17,153 | 32.701375 | 107 | py |
nltk-develop | nltk-develop/nltk/app/concordance_app.py | # Natural Language Toolkit: Concordance Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Sumukh Ghodke <sghodke@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import queue as q
import re
import threading
from tkinter import (
END,
LEFT,
SUNKEN,
... | 24,173 | 33.047887 | 104 | py |
nltk-develop | nltk-develop/nltk/app/collocations_app.py | # Natural Language Toolkit: Collocations Application
# Much of the GUI code is imported from concordance.py; We intend to merge these tools together
# Copyright (C) 2001-2023 NLTK Project
# Author: Sumukh Ghodke <sghodke@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
#
... | 14,226 | 31.407745 | 104 | py |
nltk-develop | nltk-develop/nltk/app/chunkparser_app.py | # Natural Language Toolkit: Regexp Chunk Parser Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A graphical tool for exploring the regular expression based chunk
parser ``nltk.chunk.RegexpChunk... | 56,822 | 36.856762 | 88 | py |
nltk-develop | nltk-develop/nltk/app/chartparser_app.py | # Natural Language Toolkit: Chart Parser Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Jean Mark Gawron <gawron@mail.sdsu.edu>
# Steven Bird <stevenbird1@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A graphi... | 85,626 | 32.317899 | 88 | py |
nltk-develop | nltk-develop/nltk/app/wordfreq_app.py | # Natural Language Toolkit: Wordfreq Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Sumukh Ghodke <sghodke@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
from matplotlib import pylab
from nltk.corpus import gutenberg
from nltk.text import Text
def plot... | 921 | 23.918919 | 80 | py |
nltk-develop | nltk-develop/nltk/app/srparser_app.py | # Natural Language Toolkit: Shift-Reduce Parser Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A graphical tool for exploring the shift-reduce parser.
The shift-reduce parser maintains a stac... | 33,464 | 34.676972 | 89 | py |
nltk-develop | nltk-develop/nltk/app/wordnet_app.py | # Natural Language Toolkit: WordNet Browser Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Jussi Salmela <jtsalmela@users.sourceforge.net>
# Paul Bone <pbone@students.csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A WordNet Browser application... | 34,569 | 33.363817 | 481 | py |
nltk-develop | nltk-develop/nltk/app/__init__.py | # Natural Language Toolkit: Applications package
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Interactive NLTK Applications:
chartparser: Chart Parser
chu... | 1,531 | 30.916667 | 88 | py |
nltk-develop | nltk-develop/nltk/app/rdparser_app.py | # Natural Language Toolkit: Recursive Descent Parser Application
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
A graphical tool for exploring the recursive descent parser.
The recursive descent parser m... | 36,729 | 33.881292 | 88 | py |
nltk-develop | nltk-develop/nltk/app/nemo_app.py | # Finding (and Replacing) Nemo, Version 1.1, Aristide Grange 2006/06/06
# https://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/496783
"""
Finding (and Replacing) Nemo
Instant Regular Expressions
Created by Aristide Grange
"""
import itertools
import re
from tkinter import SEL_FIRST, SEL_LAST, Frame, Label, PhotoI... | 12,142 | 73.042683 | 2,379 | py |
nltk-develop | nltk-develop/nltk/ccg/lexicon.py | # Natural Language Toolkit: Combinatory Categorial Grammar
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Graeme Gange <ggange@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
CCG Lexicons
"""
import re
from collections import defaultdict
from nltk.ccg.api import ... | 9,525 | 27.100295 | 96 | py |
nltk-develop | nltk-develop/nltk/ccg/api.py | # Natural Language Toolkit: CCG Categories
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Graeme Gange <ggange@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
from abc import ABCMeta, abstractmethod
from functools import total_ordering
from nltk.internals import rais... | 10,002 | 26.86351 | 83 | py |
nltk-develop | nltk-develop/nltk/ccg/__init__.py | # Natural Language Toolkit: Combinatory Categorial Grammar
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Graeme Gange <ggange@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Combinatory Categorial Grammar.
For more information see nltk/doc/contrib/ccg/ccg.pdf
""... | 881 | 24.2 | 73 | py |
nltk-develop | nltk-develop/nltk/ccg/combinator.py | # Natural Language Toolkit: Combinatory Categorial Grammar
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Graeme Gange <ggange@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
CCG Combinators
"""
from abc import ABCMeta, abstractmethod
from nltk.ccg.api import Fun... | 10,294 | 29.279412 | 87 | py |
nltk-develop | nltk-develop/nltk/ccg/logic.py | # Natural Language Toolkit: Combinatory Categorial Grammar
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Tanin Na Nakorn (@tanin)
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Helper functions for CCG semantics computation
"""
from nltk.sem.logic import *
def compute_type_raised_... | 1,811 | 28.704918 | 84 | py |
nltk-develop | nltk-develop/nltk/ccg/chart.py | # Natural Language Toolkit: Combinatory Categorial Grammar
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Graeme Gange <ggange@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
The lexicon is constructed by calling
``lexicon.fromstring(<lexicon string>)``.
In order... | 13,667 | 27.4158 | 88 | py |
nltk-develop | nltk-develop/nltk/tokenize/sonority_sequencing.py | # Natural Language Toolkit: Tokenizers
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Christopher Hench <chris.l.hench@gmail.com>
# Alex Estes
# URL: <https://www.nltk.org>
# For license information, see LICENSE.TXT
"""
The Sonority Sequencing Principle (SSP) is a language agnostic algorithm proposed
by Ot... | 7,545 | 37.697436 | 95 | py |
nltk-develop | nltk-develop/nltk/tokenize/toktok.py | # Natural Language Toolkit: Python port of the tok-tok.pl tokenizer.
#
# Copyright (C) 2001-2015 NLTK Project
# Author: Jon Dehdari
# Contributors: Liling Tan, Selcuk Ayguney, ikegami, Martijn Pieters
#
# URL: <https://www.nltk.org>
# For license information, see LICENSE.TXT
"""
The tok-tok tokenizer is a simple, gene... | 7,448 | 40.383333 | 172 | py |
nltk-develop | nltk-develop/nltk/tokenize/legality_principle.py | # Natural Language Toolkit: Tokenizers
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Christopher Hench <chris.l.hench@gmail.com>
# Alex Estes
# URL: <https://www.nltk.org>
# For license information, see LICENSE.TXT
"""
The Legality Principle is a language agnostic principle maintaining that syllable
onset... | 6,087 | 40.135135 | 134 | py |
nltk-develop | nltk-develop/nltk/tokenize/simple.py | # Natural Language Toolkit: Simple Tokenizers
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# URL: <https://www.nltk.org>
# For license information, see LICENSE.TXT
r"""
Simple Tokenizers
These tokenizers divide strings into substring... | 5,262 | 36.592857 | 95 | py |
nltk-develop | nltk-develop/nltk/tokenize/regexp.py | # Natural Language Toolkit: Tokenizers
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# Trevor Cohn <tacohn@csse.unimelb.edu.au>
# URL: <https://www.nltk.org>
# For license information, see LICENSE.TXT
r"""
Regular-Expression To... | 8,111 | 35.705882 | 95 | py |
nltk-develop | nltk-develop/nltk/tokenize/api.py | # Natural Language Toolkit: Tokenizer Interface
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# Steven Bird <stevenbird1@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Tokenizer Interface
"""
from abc import ABC, abstractmethod
fr... | 2,274 | 26.083333 | 77 | py |
nltk-develop | nltk-develop/nltk/tokenize/mwe.py | # Multi-Word Expression tokenizer
#
# Copyright (C) 2001-2023 NLTK Project
# Author: Rob Malouf <rmalouf@mail.sdsu.edu>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
Multi-Word Expression Tokenizer
A ``MWETokenizer`` takes a string which has already been divided into tokens and
retoken... | 4,057 | 31.464 | 89 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.