def morphologicalSimilarity(ehrAttribute, fhirAttribute, lemmaSimilarityThreshold=TranslationConstants.MORPHOLOGICAL_SIMILARITY_THRESHOLD):
if SimilarityMetrics.textMatch(ehrAttribute, fhirAttribute): return 1;
highestSimilarity = 0;
for lemma in Utilities.lemmas(ehrAttribute):
if SimilarityMetrics.textSimilarity(lemma, fhirAttribute, True) > highestSimilarity and SimilarityMetrics.textMatch(lemma, fhirAttribute, True, lemmaSimilarityThreshold):
highestSimilarity = SimilarityMetrics.textSimilarity(lemma, fhirAttribute, True);
return highestSimilarity;
def test_TestMorphological(self):
# e.g. self.assertTrue(Matches.match("PostCode", "postalCode"));
total = 0
matched = 0
for key, value in usToGB.items():
lemmas = list(Utilities.lemmas(value))
if (lemmas):
total += 1
shuffle(lemmas)
if (Matches.matches(value, lemmas[0])):
matched += 1
else:
print(str(value) + " " + str(lemmas[0]))
matchPercentage = matched / float(total)
self.assertTrue(matchPercentage > 0.90)