diff --git a/montreal_forced_aligner/dictionary/multispeaker.py b/montreal_forced_aligner/dictionary/multispeaker.py
index 0eac9db8..755ffe20 100644
--- a/montreal_forced_aligner/dictionary/multispeaker.py
+++ b/montreal_forced_aligner/dictionary/multispeaker.py
@@ -581,7 +581,7 @@ def dictionary_setup(self) -> Tuple[typing.Set[str], collections.Counter]:
                             if getattr(self, "unicode_decomposition", False):
                                 characters = unicodedata.normalize("NFKD", word)
                             else:
-                                characters = word
+                                characters = unicodedata.normalize("NFKC", word)
                             graphemes.update(characters)
                         if pretrained:
                             difference = set(pron) - self.non_silence_phones - self.silence_phones
diff --git a/montreal_forced_aligner/g2p/phonetisaurus_trainer.py b/montreal_forced_aligner/g2p/phonetisaurus_trainer.py
index 08ea6639..45ab2371 100644
--- a/montreal_forced_aligner/g2p/phonetisaurus_trainer.py
+++ b/montreal_forced_aligner/g2p/phonetisaurus_trainer.py
@@ -1744,6 +1744,8 @@ def initialize_training(self) -> None:
                 for pronunciation, word in query:
                     if self.unicode_decomposition:
                         word = unicodedata.normalize("NFKD", word)
+                    else:
+                        word = unicodedata.normalize("NFKC", word)
                     self.g2p_training_graphemes.update(word)
                     self.g2p_training_phones.update(pronunciation.split())
 
@@ -1814,6 +1816,8 @@ def initialize_training(self) -> None:
                 for pronunciation, word in query:
                     if self.unicode_decomposition:
                         word = unicodedata.normalize("NFKD", word)
+                    else:
+                        word = unicodedata.normalize("NFKC", word)
                     grapheme_count += len(word)
                     self.g2p_training_graphemes.update(word)
                     self.g2p_num_training_pronunciations += 1
diff --git a/montreal_forced_aligner/g2p/trainer.py b/montreal_forced_aligner/g2p/trainer.py
index 413db3f0..52cc09a8 100644
--- a/montreal_forced_aligner/g2p/trainer.py
+++ b/montreal_forced_aligner/g2p/trainer.py
@@ -205,7 +205,7 @@ def __init__(
         validation_proportion: float = 0.1,
         num_pronunciations: int = 0,
         evaluation_mode: bool = False,
-        unicode_decomposition: bool = True,
+        unicode_decomposition: bool = False,
         **kwargs,
     ):
         super().__init__(**kwargs)
@@ -782,6 +782,8 @@ def initialize_training(self) -> None:
                         continue
                     if self.unicode_decomposition:
                         word = unicodedata.normalize("NFKD", word)
+                    else:
+                        word = unicodedata.normalize("NFKC", word)
                     self.g2p_training_graphemes.update(word)
                     for p in pronunciations:
                         self.g2p_training_phones.update(p.split())