From cf008610a8fb0ddd74f51827e33809a73efd9204 Mon Sep 17 00:00:00 2001
From: Daniela Schneider <85058499+Sch-Da@users.noreply.github.com>
Date: Tue, 11 Mar 2025 09:25:23 +0100
Subject: [PATCH] Update tutorial.md
---
topics/statistics/tutorials/text_mining_chinese/tutorial.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/topics/statistics/tutorials/text_mining_chinese/tutorial.md b/topics/statistics/tutorials/text_mining_chinese/tutorial.md
index d797fd720b6779..f4e06096016daa 100644
--- a/topics/statistics/tutorials/text_mining_chinese/tutorial.md
+++ b/topics/statistics/tutorials/text_mining_chinese/tutorial.md
@@ -109,7 +109,7 @@ We will use Regular Expressions in a tool called "Replace text". It contains fou
> Cleaning the Text with Regular Expressions
>
-> 1. {% tool [Replace Text](toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_replace_in_line/9.3+galaxy1) %} with the following parameters:
+> 1. {% tool [Replace Text](toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_replace_in_line/9.5+galaxy0) %} with the following parameters:
> - {% icon param-file %} *"File to process"*: `output` (Input dataset)
> - In *"Replacement"*:
> - {% icon param-repeat %} *"Insert Replacement"*
@@ -368,7 +368,7 @@ The last step is to visualise the results within a word cloud. It shows, which c
> Task description
>
-> 1. {% tool [Generate a word cloud](toolshed.g2.bx.psu.edu/repos/bgruening/wordcloud/wordcloud/1.9.4+galaxy0) %} with the following parameters:
+> 1. {% tool [Generate a word cloud](toolshed.g2.bx.psu.edu/repos/bgruening/wordcloud/wordcloud/1.9.4+galaxy1) %} with the following parameters:
> - {% icon param-file %} *"Input file"*: `out_file1` (output of **Cut** {% icon tool %})
> - *"Do you want to select a special font?": `Select from a list of fonts`: `Noto Sans Traditional Chinese`
> - *"Smallest font size to use"*: `8`