diff --git a/tests/languages/test_hebrew_training.py b/tests/languages/test_hebrew_training.py
new file mode 100644
index 0000000..e265a6a
--- /dev/null
+++ b/tests/languages/test_hebrew_training.py
@@ -0,0 +1,62 @@
+"""Test training a tokenizer on Hebrew text with diacritics decomposition."""
+
+from complex_tokenization.graphs.settings import GraphSettings
+from complex_tokenization.graphs.units import register_script, utf8_clusters
+from complex_tokenization.graphs.words import pretokenize
+from complex_tokenization.languages.hebrew.decompose import decompose_cluster
+from complex_tokenization.trainer import Trainer
+
+
+def train_hebrew(texts, num_merges=10):
+    register_script("Hebrew", decompose_cluster)
+    GraphSettings.ONLY_MINIMAL_MERGES = True
+    GraphSettings.MAX_MERGE_SIZE = 2
+
+    graphs = tuple(utf8_clusters(t) for t in texts)
+    trainer = Trainer(graphs=graphs)
+    trainer.train(num_merges=num_merges)
+    return trainer
+
+
+class TestHebrewTraining:
+    def test_simple_word_training(self):
+        texts = ["שלום שלום שלום"]
+        trainer = train_hebrew(texts, num_merges=5)
+        assert len(trainer.merges) > 0
+
+    def test_nikkud_text_training(self):
+        texts = ["בְּרֵאשִׁית בָּרָא אֱלֹהִים"] * 3
+        trainer = train_hebrew(texts, num_merges=10)
+        assert len(trainer.merges) > 0
+
+    def test_repeated_diacritics_merge(self):
+        """Shared diacritics across words should produce frequent merges."""
+        texts = ["בָּ כָּ דָּ גָּ פָּ תָּ"] * 5
+        trainer = train_hebrew(texts, num_merges=15)
+        merge_bytes = [
+            b"".join(bytes(n) for n in nodes)
+            for _, nodes in trainer.merges
+        ]
+        dagesh = "ּ".encode()
+        qamats = "ָ".encode()
+        assert any(dagesh in mb or qamats in mb for mb in merge_bytes), (
+            "Expected dagesh or qamats in early merges"
+        )
+
+    def test_mixed_nikkud_and_plain(self):
+        texts = ["שלום עולם", "בְּרֵאשִׁית"]
+        trainer = train_hebrew(texts, num_merges=5)
+        assert len(trainer.merges) > 0
+
+    def test_bytes_preserved(self):
+        register_script("Hebrew", decompose_cluster)
+        text = "שלום"
+        graph = utf8_clusters(text)
+        assert bytes(graph) == text.encode()
+
+    def test_pretokenize_hebrew(self):
+        text = "שלום עולם"
+        tokens = pretokenize(text)
+        assert len(tokens) == 2
+        assert tokens[0] == "שלום"
+        assert tokens[1] == " עולם"