updating documentation

documentation/decisions.md

@@ -325,6 +325,25 @@ Exercise types split naturally into Type A (translation, current model) and Type
 
 ---
 
+### Term glosses: Italian coverage is sparse (expected)
+
+OMW gloss data is primarily in English. After full import:
+
+- English glosses: 95,882 (~100% of terms)
+- Italian glosses: 1,964 (~2% of terms)
+
+This is not a data pipeline problem — it reflects the actual state of OMW. Italian
+glosses simply don't exist for most synsets in the dataset.
+
+**Handling in the UI:** fall back to the English gloss when no gloss exists for the
+user's language. This is acceptable UX — a definition in the wrong language is better
+than no definition at all.
+
+If Italian gloss coverage needs to improve in the future, Wiktionary is the most
+likely source — it has broader multilingual definition coverage than OMW.
+
+---
+
 ## Open Research
 
 ### Semantic category metadata source