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homer_generate.py
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homer_generate.py
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#!/usr/bin/env python3
from collections import defaultdict
from accent import strip_length
from greek_inflexion import GreekInflexion
from test_generate import output_item
from homer_utils import key_to_part
debug = False
incorrect_count = 0
total_count = 0
summary_by_lemma = defaultdict(set)
ginflexion = GreekInflexion(
"stemming.yaml", "STEM_DATA/homer_lexicon.yaml"
)
first = True
FILENAME = "homer-data/verbs.tsv"
PART = ["3+", "3-"]
with open(FILENAME) as f:
for row in f:
data = row.split("#")[0].strip()
if not data:
continue
total_count += 1
lemma, key, form = data.split()
if PART:
if key_to_part(key) not in PART:
continue
tags = set([
"fixed-final-nu-aai.3s",
"no-final-nu-aai.3s",
"no-final-nu-aao.3s",
"no-final-nu-fai.3p",
"no-final-nu-pai.3p",
"no-final-nu-iai.3s",
"no-final-nu-xai.3s",
"no-final-nu-xai.3p",
"no-final-nu-yai.3s",
"no-final-nu-aps.3p",
"no-final-nu-pai.3s",
"no-final-nu-aas.3p",
"no-final-nu-xas.3p",
"no-sigma-loss-imi.2s",
"alt-apo-pl",
"Homer",
])
c = form.count("/") + 1
stem = ginflexion.find_stems(lemma, key, tags)
generated = ginflexion.generate(lemma, key, tags)
segmented_lemma = ginflexion.segmented_lemmas.get(lemma)
if strip_length(form) in [
strip_length(w) for w in sorted(generated)]:
correct = "✓"
else:
correct = "✕"
incorrect_count += 1
summary_by_lemma[lemma].add(key)
if first:
possible_stems = [
(key_to_part(a), b, a)
for a, b in ginflexion.possible_stems(form)
]
likely_stems = [
(key_to_part(a), b)
for a, b in ginflexion.possible_stems(
form, "^" + key + "$")
]
possible_parses = []
for plemma, pparse in ginflexion.parse(form):
possible_parses.append((
plemma,
pparse,
set(ginflexion.generate(plemma, pparse, tags))
))
if debug or correct == "✕":
if first:
output_item(
lemma, segmented_lemma, key, key_to_part(key), form, None,
stem, possible_stems, likely_stems, possible_parses,
generated, correct)
# if len(likely_stems) == 1:
# print(lemma, likely_stems[0][0], likely_stems[0][1])
first = False
print()
print("{}/{} incorrect".format(incorrect_count, total_count))
print(len(summary_by_lemma))