app/src/main/java/com/ganjoor/android/data/Dictionary.kt

@@ -17,7 +17,7 @@ data class Definition(val word: String, val gloss: String, val source: String)
  */
 object Dictionary {
     /** Guards against a copy interrupted half-way leaving an unopenable file behind. */
-    private const val ASSET_BYTES = 27742208L
+    private const val ASSET_BYTES = 86663168L
 
     // Not a .gz: the build packager silently gunzips those and drops the extension, which left
     // the asset under a different name than the code was opening.
@@ -83,9 +83,28 @@ object Dictionary {
             }
     }
 
+    /**
+     * Ordered the way a reader of this app wants to be answered: a definition written in Urdu
+     * first, because it needs no translating at all, then the Persian sources, then the ones
+     * keyed on another language. English is what the rest fall back to, so it comes last by
+     * coming from the sources that sit last.
+     *
+     * Arabic is last outright: its forms index is larger than every other source combined,
+     * which makes it the likeliest to match something by coincidence.
+     */
     private fun direct(database: SQLiteDatabase, word: String): List<Definition> =
         database.rawQuery(
-            "SELECT display, gloss, source FROM entry WHERE word = ? LIMIT 12",
+            """
+            SELECT display, gloss, source FROM entry WHERE word = ?
+            ORDER BY CASE source
+                WHEN 'urwiktionary' THEN 0
+                WHEN 'wiktionary-fa' THEN 1
+                WHEN 'daneshjoo' THEN 2
+                WHEN 'wiktionary-ur' THEN 3
+                ELSE 4
+            END
+            LIMIT 12
+            """,
             arrayOf(word),
         ).use { cursor ->
             buildList {

app/src/main/java/com/ganjoor/android/ui/WordSheet.kt

@@ -55,6 +55,7 @@ private fun sourceLabel(source: String) = when (source) {
     "wiktionary-fa" -> R.string.source_wiktionary
     "wiktionary-ur" -> R.string.source_wiktionary_ur
     "urwiktionary" -> R.string.source_urwiktionary
+    "wiktionary-ar" -> R.string.source_wiktionary_ar
     else -> R.string.source_daneshjoo
 }
 

app/src/main/res/values-fa/strings.xml

@@ -68,4 +68,5 @@
     <string name="source_wiktionary_ur">ویکی‌واژه — اردو به انگلیسی (CC BY-SA 3.0)</string>
     <string name="source_urwiktionary">ویکی‌واژهٔ اردو — اردو به اردو (CC BY-SA 3.0)</string>
     <string name="did_you_mean">واژه‌های نزدیک</string>
+    <string name="source_wiktionary_ar">ویکی‌واژه — عربی به انگلیسی (CC BY-SA 3.0)</string>
 </resources>

app/src/main/res/values-ur/strings.xml

@@ -68,4 +68,5 @@
     <string name="source_wiktionary_ur">ویکی لغت — اردو سے انگریزی (CC BY-SA 3.0)</string>
     <string name="source_urwiktionary">اردو ویکی لغت — اردو سے اردو (CC BY-SA 3.0)</string>
     <string name="did_you_mean">ملتے جلتے الفاظ</string>
+    <string name="source_wiktionary_ar">ویکی لغت — عربی سے انگریزی (CC BY-SA 3.0)</string>
 </resources>

app/src/main/res/values/strings.xml

@@ -73,4 +73,5 @@
     <string name="source_wiktionary_ur">Wiktionary — Urdu to English (CC BY-SA 3.0)</string>
     <string name="source_urwiktionary">Urdu Wiktionary — Urdu to Urdu (CC BY-SA 3.0)</string>
     <string name="did_you_mean">Similar words</string>
+    <string name="source_wiktionary_ar">Wiktionary — Arabic to English (CC BY-SA 3.0)</string>
 </resources>

tools/README.md

@@ -44,6 +44,25 @@ source here whose definitions are written **in Urdu** — thin (around 3,100 usa
 31,000 pages, many being stubs), but for a word it does carry an Urdu reader is better served by
 it than by a translation into English.
 
+## Arabic
+
+```sh
+curl -L -o ar.jsonl https://kaikki.org/dictionary/Arabic/kaikki.org-dictionary-Arabic.jsonl
+```
+
+521 MB, almost all of it the inflection index, and that index is the point: the Arabic quoted
+inside Persian verse is conjugated, so السّاقی, الناس, تَلْقَ and تَهْوی only reach a definition
+through it. 36,627 entries and 819,608 new form pairs for about 59 MB of database.
+
+## Why there is no Persian-to-Urdu
+
+Wiktionary's Persian entries carry no translations at all — the translation tables live only on
+English pages, in a 3.3 GB export. Going Persian to Urdu would mean pivoting through an English
+sense, and a sample of that file projects only about 6,900 Persian words with any Urdu
+equivalent, most of them modern dictionary vocabulary rather than the language of the poems. The
+definitions written in Urdu therefore come from Urdu Wiktionary directly, and are preferred over
+the English ones wherever they exist.
+
 ## Licences
 
 Each row carries its `source`, so attribution stays accurate and either source can be dropped

tools/build_dictionary.py

@@ -69,6 +69,25 @@ for line in open('ur.jsonl', encoding='utf-8'):
             forms.add((normalise(t), normalise(word)))
 print(f"wiktionary-ur: {len(entries) - n_fa} entries, {len(forms)} forms total")
 
+# Arabic, for the lines classical Persian quotes outright — Hafez opens with one.
+if os.path.exists('ar.jsonl'):
+    n_ar, f_ar = len(entries), len(forms)
+    for line in open('ar.jsonl', encoding='utf-8'):
+        try: e = json.loads(line)
+        except Exception: continue
+        word = e.get('word')
+        if not word: continue
+        gs = [g.strip() for s in e.get('senses', []) for g in (s.get('glosses') or []) if g.strip()]
+        if gs:
+            pos = e.get('pos') or ''
+            gloss = '; '.join(dict.fromkeys(gs))[:600]
+            entries.append((normalise(word), word, f"({pos}) {gloss}" if pos else gloss, 'wiktionary-ar'))
+        for f in e.get('forms', []):
+            t = f.get('form')
+            if t and t != word and not t.startswith('-') and len(t) > 1:
+                forms.add((normalise(t), normalise(word)))
+    print(f"wiktionary-ar: {len(entries) - n_ar} entries, {len(forms) - f_ar} new forms")
+
 tag = re.compile(r'<[^>]+>')
 n0 = len(entries)
 for k, v in MDX('daneshjoo.mdx').items():