Fix 4 Grid Editor bugs: syllable modes, heading detection, word gaps
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>
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@@ -139,6 +139,92 @@ def _try_merge_pipe_gaps(text: str, hyph_de) -> str:
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return ' '.join(result)
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def merge_word_gaps_in_zones(zones_data: List[Dict], session_id: str) -> int:
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"""Merge OCR word-gap fragments in cell texts using pyphen validation.
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OCR often splits words at syllable boundaries into separate word_boxes,
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producing text like "zerknit tert" instead of "zerknittert". This
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function tries to merge adjacent fragments in every content cell.
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More permissive than ``_try_merge_pipe_gaps`` (threshold 6 instead of 3)
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but still guarded by pyphen dictionary lookup and stop-word exclusion.
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Returns the number of cells modified.
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"""
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hyph_de, _ = _get_hyphenators()
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if hyph_de is None:
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return 0
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modified = 0
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for z in zones_data:
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for cell in z.get("cells", []):
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ct = cell.get("col_type", "")
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if not ct.startswith("column_"):
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continue
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text = cell.get("text", "")
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if not text or " " not in text:
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continue
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# Skip IPA cells
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text_no_brackets = re.sub(r'\[[^\]]*\]', '', text)
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if _IPA_RE.search(text_no_brackets):
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continue
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new_text = _try_merge_word_gaps(text, hyph_de)
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if new_text != text:
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cell["text"] = new_text
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modified += 1
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if modified:
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logger.info(
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"build-grid session %s: merged word gaps in %d cells",
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session_id, modified,
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)
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return modified
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def _try_merge_word_gaps(text: str, hyph_de) -> str:
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"""Merge OCR word fragments with relaxed threshold (max_short=6).
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Similar to ``_try_merge_pipe_gaps`` but allows longer fragments to be
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merged. Still requires pyphen to recognize the merged word.
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"""
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parts = text.split(' ')
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if len(parts) < 2:
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return text
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result = [parts[0]]
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i = 1
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while i < len(parts):
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prev = result[-1]
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curr = parts[i]
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prev_alpha = re.sub(r'[^a-zA-ZäöüÄÖÜßẞ]', '', prev)
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curr_alpha = re.sub(r'[^a-zA-ZäöüÄÖÜßẞ]', '', curr)
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should_try = (
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prev == prev_alpha
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and prev_alpha and curr_alpha
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and prev_alpha.lower() not in _STOP_WORDS
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and curr_alpha.lower() not in _STOP_WORDS
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and min(len(prev_alpha), len(curr_alpha)) <= 6
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and len(prev_alpha) + len(curr_alpha) >= 4
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)
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if should_try:
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merged_alpha = prev_alpha + curr_alpha
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hyph = hyph_de.inserted(merged_alpha, hyphen='-')
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if '-' in hyph:
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result[-1] = prev + curr
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i += 1
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continue
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result.append(curr)
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i += 1
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return ' '.join(result)
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def _syllabify_text(text: str, hyph_de, hyph_en) -> str:
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"""Syllabify all significant words in a text string.
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@@ -259,6 +345,12 @@ def insert_syllable_dividers(
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if not text:
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continue
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# In auto mode (force=False), only normalize cells that already
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# have | from OCR (i.e. printed syllable dividers on the original
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# scan). Don't add new syllable marks to other words.
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if not force and "|" not in text:
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continue
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new_text = _syllabify_text(text, hyph_de, hyph_en)
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if new_text != text:
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cell["text"] = new_text
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@@ -1593,6 +1593,13 @@ async def _build_grid_core(
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except Exception as e:
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logger.warning("Dictionary detection failed: %s", e)
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# --- Word-gap merge: fix OCR splits like "zerknit tert" → "zerknittert" ---
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try:
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from cv_syllable_detect import merge_word_gaps_in_zones
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merge_word_gaps_in_zones(zones_data, session_id)
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except Exception as e:
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logger.warning("Word-gap merge failed: %s", e)
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# --- Syllable divider insertion for dictionary pages ---
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# syllable_mode: "auto" = only when original has pipe dividers (1% threshold),
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# "all" = force on all content words, "en" = English column only,
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@@ -1626,6 +1633,15 @@ async def _build_grid_core(
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except Exception as e:
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logger.warning("Syllable insertion failed: %s", e)
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# When syllable mode is "none", strip any residual | from OCR so
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# that the displayed text is clean (e.g. "Zel|le" → "Zelle").
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if syllable_mode == "none":
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for z in zones_data:
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for cell in z.get("cells", []):
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t = cell.get("text", "")
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if "|" in t:
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cell["text"] = t.replace("|", "")
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# Clean up internal flags before returning
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for z in zones_data:
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for cell in z.get("cells", []):
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@@ -912,6 +912,13 @@ def _detect_heading_rows_by_single_cell(
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_REAL_IPA_CHARS = set("ˈˌəɪɛɒʊʌæɑɔʃʒθðŋ")
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if _text_has_garbled_ipa(text) and not any(c in _REAL_IPA_CHARS for c in text):
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continue
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# Guard: dictionary section headings are short (1-4 alpha chars
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# like "A", "Ab", "Zi", "Sch"). Longer text that starts
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# lowercase is a regular vocabulary word (e.g. "zentral") that
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# happens to appear alone in its row.
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alpha_only = re.sub(r'[^a-zA-ZäöüÄÖÜßẞ]', '', text)
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if len(alpha_only) > 4 and text[0].islower():
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continue
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heading_row_indices.append(ri)
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# Guard: if >25% of eligible rows would become headings, the
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