1. Syllable "Original" (auto) mode: only normalize cells that already
have | from OCR — don't add new syllable marks via pyphen to words
without printed dividers on the original scan.
2. Syllable "Aus" (none) mode: strip residual | chars from OCR text
so cells display clean (e.g. "Zel|le" → "Zelle").
3. Heading detection: add text length guard in single-cell heuristic —
words > 4 alpha chars starting lowercase (like "zentral") are regular
vocabulary, not section headings.
4. Word-gap merge: new merge_word_gaps_in_zones() step with relaxed
threshold (6 chars) fixes OCR splits like "zerknit tert" → "zerknittert".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The _IPA_RE check in _syllabify_text() skipped entire cells containing
any IPA character. After German IPA insertion adds [bɪltʃøn], the check
blocked syllabification entirely. Now strips bracket content before
checking, so programmatically inserted IPA doesn't prevent syllable
divider insertion on the surrounding text.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Extend ipa_mode and syllable_mode toggles with language options:
- auto: smart detection (default)
- en: only English headword column
- de: only German definition columns
- all: all content columns
- none: skip entirely
Also improve English column auto-detection: use garbled IPA patterns
(apostrophes, colons) in addition to bracket patterns. This correctly
identifies English dictionary pages where OCR produces garbled ASCII
instead of bracket IPA.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend: Remove en_col_type fallback heuristic (longest avg text) that
incorrectly identified German columns as English. IPA now only applied
when OCR bracket patterns are actually found. Add ipa_mode (auto/all/none)
and syllable_mode (auto/all/none) query params to build-grid API.
Frontend: Add IPA and Silben dropdown selects to GridToolbar. Modes
are passed as query params on rebuild. Auto = current smart detection,
All = force for all words, Aus = skip entirely.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Real dictionary pages have only ~3% OCR-detected pipes because the thin
syllable divider lines are hard for OCR to read. The primary false-positive
guard (article_col_index check) already blocks synonym dictionaries.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewrite cv_syllable_detect.py with pyphen-first approach:
- Remove unreliable CV gate (morphological pipe detection)
- Strip existing pipes and re-syllabify via pyphen (DE then EN)
- Merge pipe-gap spaces where OCR split words at divider positions
- Guard merges with function word blacklist and punctuation checks
Add false-positive prevention:
- Pre-check: skip if <5% of cells have existing | from OCR
- Call-site check: require article_col_index (der/die/das column)
- Prevents syllabification of synonym dictionaries and word lists
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Extracted 1367 lines of helper functions from grid_editor_api.py
(3051→1620 lines) into grid_editor_helpers.py (filters, detectors,
zone grid building).
2. Created cv_syllable_detect.py with generic CV+pyphen logic:
- Checks EVERY word_box for vertical pipe lines (not just first word)
- No article-column dependency — works with any dictionary layout
- CV morphological detection gates pyphen insertion
3. Grid editor scroll: calc(100vh-200px) for reliable scrolling.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
