diff --git a/klausur-service/backend/cv_vocab_pipeline.py b/klausur-service/backend/cv_vocab_pipeline.py
index 50e0a4a..eea7a64 100644
--- a/klausur-service/backend/cv_vocab_pipeline.py
+++ b/klausur-service/backend/cv_vocab_pipeline.py
@@ -2868,15 +2868,21 @@ def _attach_example_sentences(entries: List[Dict[str, Any]]) -> List[Dict[str, A
         de = (entry.get('german', '') or '').strip()
         ex = (entry.get('example', '') or '').strip()
 
-        # Treat very short DE (≤2 chars) as OCR noise, not real translation
-        has_de = len(de) > 2
+        # Treat single-char DE as OCR noise, not real translation.
+        # "Ei" (2 chars) is a valid German word, so threshold is 1.
+        has_de = len(de) > 1
         has_en = bool(en)
+        has_ex = bool(ex)
 
-        if has_en and not has_de and vocab_entries:
+        # A row is an example candidate ONLY if it has EN text but
+        # NO DE translation AND NO example-column text.  Rows with
+        # text in the example column are real vocab entries (e.g.
+        # continuation lines like "stand ..." / "German: Ich möchte...").
+        is_example_candidate = has_en and not has_de and not has_ex and vocab_entries
+
+        if is_example_candidate:
             # This is an example sentence — find best matching vocab entry
             example_text = en
-            if ex:
-                example_text = f"{en} — {ex}"
 
             match_idx = _find_best_vocab_match(en, vocab_entries)
             if match_idx < 0:
diff --git a/klausur-service/backend/ocr_pipeline_api.py b/klausur-service/backend/ocr_pipeline_api.py
index 24f1d4a..e900e9c 100644
--- a/klausur-service/backend/ocr_pipeline_api.py
+++ b/klausur-service/backend/ocr_pipeline_api.py
@@ -1179,7 +1179,9 @@ async def detect_words(
         entries = _cells_to_vocab_entries(cells, columns_meta)
         entries = _fix_character_confusion(entries)
         entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
-        entries = _split_comma_entries(entries)
+        # NOTE: _split_comma_entries disabled — word forms like "mouse, mice"
+        # / "Maus, Mäuse" belong together in one entry.
+        # entries = _split_comma_entries(entries)
         entries = _attach_example_sentences(entries)
         word_result["vocab_entries"] = entries
         # Also keep "entries" key for backwards compatibility
@@ -1308,7 +1310,9 @@ async def _word_stream_generator(
         entries = _cells_to_vocab_entries(all_cells, columns_meta)
         entries = _fix_character_confusion(entries)
         entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
-        entries = _split_comma_entries(entries)
+        # NOTE: _split_comma_entries disabled — word forms like "mouse, mice"
+        # / "Maus, Mäuse" belong together in one entry.
+        # entries = _split_comma_entries(entries)
         entries = _attach_example_sentences(entries)
         word_result["vocab_entries"] = entries
         word_result["entries"] = entries