File size: 2,161 Bytes
62600b8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | from __future__ import annotations
import unittest
from romani_asr.transcript_audit import (
TranscriptAuditRow,
audit_transcripts,
tokenize_transcript,
transcript_issue_flags,
)
class TranscriptAuditTests(unittest.TestCase):
def test_transcript_issue_flags_find_editorial_artifacts(self) -> None:
flags = transcript_issue_flags("41: barvalo/raňi phen- n´aj (x)")
self.assertIn("speaker_tag", flags)
self.assertIn("slash_variant", flags)
self.assertIn("hyphen", flags)
self.assertIn("apostrophe_or_accent", flags)
self.assertIn("parentheses", flags)
def test_tokenize_transcript_keeps_apostrophe_fragments_together(self) -> None:
self.assertEqual(tokenize_transcript("n´ajse jakha"), ["n'ajse", "jakha"])
def test_audit_transcripts_reports_variants_and_split_candidates(self) -> None:
rows = [
TranscriptAuditRow(
id="a",
manifest="train.csv",
transcript="sikav o čitro pre savohin e ovoca",
duration_sec=3.0,
),
TranscriptAuditRow(
id="b",
manifest="test.csv",
transcript="pro savo hin belavo tričkos",
duration_sec=2.0,
),
TranscriptAuditRow(
id="c",
manifest="train.csv",
transcript="šukar rom",
duration_sec=1.0,
),
TranscriptAuditRow(
id="d",
manifest="train.csv",
transcript="sukar rom",
duration_sec=1.0,
),
]
audit = audit_transcripts(rows, min_token_variant_count=2)
token_variant_bases = {
item["base"] for item in audit["token_variants"]
}
split_pairs = {
(item["merged_token"], item["split_form"])
for item in audit["merged_split_candidates"]
}
self.assertIn("sukar", token_variant_bases)
self.assertIn(("savohin", "savo hin"), split_pairs)
if __name__ == "__main__":
unittest.main()
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