[opennlp-site] branch main updated: updates outdated faq page which still referenced 1.7.2 documentation

[rz...@apache.org]

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rzo1 pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/opennlp-site.git


The following commit(s) were added to refs/heads/main by this push:
     new 33f72731 updates outdated faq page which still referenced 1.7.2 documentation
33f72731 is described below

commit 33f72731db1bd3cf7bc69f78abc762b264a03019
Author: Martin Wiesner <ma...@hs-heilbronn.de>
AuthorDate: Tue Apr 4 21:48:32 2023 +0200

    updates outdated faq page which still referenced 1.7.2 documentation
---
 src/main/jbake/content/faq.ad | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/main/jbake/content/faq.ad b/src/main/jbake/content/faq.ad
index 0756ef3b..3af13bad 100644
--- a/src/main/jbake/content/faq.ad
+++ b/src/main/jbake/content/faq.ad
@@ -38,11 +38,11 @@ https://stackoverflow.com/questions/tagged/opennlp[forums].
   <dd>To train the name finder model you need training data that contains the entities you would
   like to detect.
 Have a look at our manual, in special the sections under the
-<a href="/docs/1.7.2/manual/opennlp.html#tools.namefind.training">Name Finder Training API</a>.
+<a href="/docs/2.1.1/manual/opennlp.html#tools.namefind.training">Name Finder Training API</a>.
 At the beginning of that section you can see how the data has to be marked up. Please note you that you need many sentences to successfully train the name finder.</dd>
 
   <dt>How can I speed up my MaxEnt training time</dt>
-  <dd>Try tweaking the value of <a href="/docs/1.7.2/apidocs/opennlp-tools/opennlp/tools/util/TrainingParameters.html#THREADS_PARAM">TrainingParameters.THREADS_PARAM</a>.</dd>
+  <dd>Try tweaking the value of <a href="/docs/2.1.1/apidocs/opennlp-tools/opennlp/tools/util/TrainingParameters.html#THREADS_PARAM">TrainingParameters.THREADS_PARAM</a>.</dd>
 
   <dt>Will my models trained with a previous version of OpenNLP still work with a newer version?</dt>
   <dd>You should expect it to work. The corpora used is normally the same. However, the behavior may