diff --git a/yiiguxing.translation.xml b/yiiguxing.translation.xml
index e96e3ce..ac2e054 100644
--- a/yiiguxing.translation.xml
+++ b/yiiguxing.translation.xml
@@ -22,6 +22,8 @@
     <option name="translationDialogLocationY" value="567" />
     <option name="translationDialogWidth" value="1381" />
     <histories>
+      <item value="{@template auto_size_text.stepGranularity} The step size in which the font size is being adapted to constraints. The Text scales uniformly in a range between [minFontSize] and [maxFontSize]. Each increment occurs as per the step size set in stepGranularity. Most of the time you don't want a stepGranularity below 1.0. Is being ignored if [presetFontSizes] is set. {@endtemplate}" />
+      <item value="MinFontSize must be a multiple of stepGranularity" />
       <item value="type RESUME AND SKIP CUR ACTION" />
       <item value="fog" />
       <item value="wireframe linejoin" />
@@ -70,8 +72,6 @@
       <item value="The [imageBytes] parameter should contain encoded image data (JPEG, PNG, etc.)." />
       <item value="Specifies which face detection model variant to use. Different models are optimized for different use cases: - [frontCamera]: Optimized for selfiefront-facing camera (128x128 input) - [backCamera]: Optimized for rear camera with higher resolution (256x256 input) - [shortRange]: Optimized for close-up faces (128x128 input) - [full]: Full-range detection (192x192 input) - [fullSparse]: Full-range with sparse anchors (192x192 input)" />
       <item value="judge motion and emoticon" />
-      <item value="put if absent" />
-      <item value="use penetrate" />
     </histories>
     <option name="languageScores">
       <map>