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Preserve alignment edits without ASR words
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Keep transcript-only runs eligible for alignment heuristics instead of bailing out when the ASR stage does not supply word timings.

Build fallback AsrWord entries from the transcript so cue-based corrections like "i mean" still apply, while reusing the existing literal guard for verbatim phrases.

Cover the new path in alignment and pipeline tests, and validate with python3 -m unittest tests.test_alignment_edits tests.test_pipeline_engine.
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Thales Maciel 2026-03-11 13:50:07 -03:00
parent 8169db98f4
commit c4433e5a20
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GPG key ID: 33112E6833C34679
3 changed files with 71 additions and 7 deletions
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18
tests/test_alignment_edits.py
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@ -47,6 +47,15 @@ class AlignmentHeuristicEngineTests(unittest.TestCase):
self.assertEqual(result.applied_count, 1)
self.assertTrue(any(item.rule_id == "cue_correction" for item in result.decisions))
def test_applies_i_mean_tail_correction_without_asr_words(self):
engine = AlignmentHeuristicEngine()
result = engine.apply("schedule for 5, i mean 6", [])
self.assertEqual(result.draft_text, "schedule for 6")
self.assertEqual(result.applied_count, 1)
self.assertTrue(any(item.rule_id == "cue_correction" for item in result.decisions))
def test_preserves_literal_i_mean_context(self):
engine = AlignmentHeuristicEngine()
words = _words(["write", "exactly", "i", "mean", "this", "sincerely"])
@ -57,6 +66,15 @@ class AlignmentHeuristicEngineTests(unittest.TestCase):
self.assertEqual(result.applied_count, 0)
self.assertGreaterEqual(result.skipped_count, 1)
def test_preserves_literal_i_mean_context_without_asr_words(self):
engine = AlignmentHeuristicEngine()
result = engine.apply("write exactly i mean this sincerely", [])
self.assertEqual(result.draft_text, "write exactly i mean this sincerely")
self.assertEqual(result.applied_count, 0)
self.assertGreaterEqual(result.skipped_count, 1)
def test_collapses_exact_restart_repetition(self):
engine = AlignmentHeuristicEngine()
words = _words(["please", "send", "it", "please", "send", "it"])