diff --git a/whisperlivekit/results_formater.py b/whisperlivekit/results_formater.py
index 1556ac9..577a1c5 100644
--- a/whisperlivekit/results_formater.py
+++ b/whisperlivekit/results_formater.py
@@ -6,11 +6,10 @@ from whisperlivekit.timed_objects import Line, format_time
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.DEBUG)
 
-PUNCTUATION_MARKS = {'.', '!', '?', '。', '！', '？'}
 CHECK_AROUND = 4
 
 def is_punctuation(token):
-    if token.text.strip() in PUNCTUATION_MARKS:
+    if token.is_punctuation():
         return True
     return False
 
diff --git a/whisperlivekit/timed_objects.py b/whisperlivekit/timed_objects.py
index c3954ea..722673f 100644
--- a/whisperlivekit/timed_objects.py
+++ b/whisperlivekit/timed_objects.py
@@ -2,6 +2,8 @@ from dataclasses import dataclass, field
 from typing import Optional, Any
 from datetime import timedelta
 
+PUNCTUATION_MARKS = {'.', '!', '?', '。', '！', '？'}
+
 def format_time(seconds: float) -> str:
     """Format seconds as HH:MM:SS."""
     return str(timedelta(seconds=int(seconds)))
@@ -16,6 +18,9 @@ class TimedText:
     probability: Optional[float] = None
     is_dummy: Optional[bool] = False
     
+    def is_punctuation(self):
+        return self.text.strip() in PUNCTUATION_MARKS
+    
     def overlaps_with(self, other: 'TimedText') -> bool:
         return not (self.end <= other.start or other.end <= self.start)
     
diff --git a/whisperlivekit/translation/translation.py b/whisperlivekit/translation/translation.py
index c08f190..bb144c8 100644
--- a/whisperlivekit/translation/translation.py
+++ b/whisperlivekit/translation/translation.py
@@ -12,8 +12,6 @@ logger = logging.getLogger(__name__)
 
 #In diarization case, we may want to translate just one speaker, or at least start the sentences there
 
-PUNCTUATION_MARKS = {'.', '!', '?', '。', '！', '？'}
-
 MIN_SILENCE_DURATION_DEL_BUFFER = 3 #After a silence of x seconds, we consider the model should not use the buffer, even if the previous
 # sentence is not finished.
 
@@ -111,7 +109,7 @@ class OnlineTranslation:
         if len(self.buffer) < self.len_processed_buffer + 3: #nothing new to process
             return self.validated + [self.translation_remaining]
         while i < len(self.buffer):
-            if self.buffer[i].text in PUNCTUATION_MARKS:
+            if self.buffer[i].is_punctuation():
                 translation_sentence = self.translate_tokens(self.buffer[:i+1])
                 self.validated.append(translation_sentence)
                 self.buffer = self.buffer[i+1:]