def main():
import os.path
from normalization import BrainDeadNormalizer
from tokenization import BrainDeadTokenizer
from corpus import InMemoryCorpus
from ahocorasick import Trie, StringFinder
print("Building trie from MeSH corpus...")
normalizer = BrainDeadNormalizer()
tokenizer = BrainDeadTokenizer()
corpus = InMemoryCorpus(os.path.join(data_path, 'mesh.txt'))
dictionary = Trie()
for document in corpus:
dictionary.add(
normalizer.normalize(normalizer.canonicalize(document["body"])),
tokenizer)
engine = StringFinder(dictionary, tokenizer)
print("Enter some text and locate words and phrases that are MeSH terms.")
def evaluator(text):
matches = []
engine.scan(normalizer.normalize(normalizer.canonicalize(text)),
lambda m: matches.append(m))
return matches
simple_repl("text", evaluator)
class TestBrainDeadNormalizer(unittest.TestCase):
def setUp(self):
from normalization import BrainDeadNormalizer
self._normalizer = BrainDeadNormalizer()
def test_canonicalize(self):
self.assertEqual(self._normalizer.canonicalize("Dette ER en\nprØve!"),
"Dette ER en\nprØve!")
def test_normalize(self):
self.assertEqual(
self._normalizer.normalize("grÅFustaSJEOpphengsForKOBling"),
"gråfustasjeopphengsforkobling")
