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     new e68b3573 Automatic Site Publish by Buildbot
e68b3573 is described below

commit e68b35731d70e92a83d76303c84e6a9cbd44d67c
Author: buildbot <[email protected]>
AuthorDate: Sat Nov 23 13:01:32 2024 +0000

    Automatic Site Publish by Buildbot
---
 faq.html    |  7 ++++---
 feed.xml    |  4 ++--
 models.html | 25 +++++++++++++++++++++++++
 3 files changed, 31 insertions(+), 5 deletions(-)

diff --git a/faq.html b/faq.html
index 27b0dcf9..d6a7c2f7 100644
--- a/faq.html
+++ b/faq.html
@@ -147,9 +147,10 @@
 <p><em>Where can I download the pre-trained models used in OpenNLP?</em></p>
 <p>Models for 32 languages are available at the project&#8217;s <a 
href="/models.html">Models download</a> page or
 bundled in JAR files distributed via <strong>Maven Central</strong>
-(<a href="https://central.sonatype.com/search?q=opennlp+models+sentdetect"; 
class="external" target="_blank" rel="noopener">Sentence-Detector</a>,
-<a href="https://central.sonatype.com/search?q=opennlp+models+tokenizer"; 
class="external" target="_blank" rel="noopener">Tokenization</a>,
-<a href="https://central.sonatype.com/search?q=opennlp+models+pos"; 
class="external" target="_blank" rel="noopener">POS Tagging</a>).</p>
+(<a href="https://search.maven.org/search?q=opennlp%20models%20sentdetect"; 
class="external" target="_blank" rel="noopener">Sentence-Detector</a>,
+<a href="https://search.maven.org/search?q=opennlp%20models%20tokenizer"; 
class="external" target="_blank" rel="noopener">Tokenization</a>,
+<a href="https://search.maven.org/search?q=opennlp%20models%20lemmatizer"; 
class="external" target="_blank" rel="noopener">Lemmatizer</a>),
+<a href="https://search.maven.org/search?q=opennlp%20models%20pos"; 
class="external" target="_blank" rel="noopener">POS Tagging</a>).</p>
 </li>
 <li>
 <p><em>How to train a Named Entity Recognition (NER) model?</em></p>
diff --git a/feed.xml b/feed.xml
index 0470d12f..662fb4a3 100644
--- a/feed.xml
+++ b/feed.xml
@@ -24,8 +24,8 @@
     <atom:link href="https://opennlp.apache.org/feed.xml"; rel="self" 
type="application/rss+xml" />
     <description>The Apache OpenNLP library is a machine learning based 
toolkit for the processing of natural language text</description>
     <language>en-us</language>
-    <pubDate>Sat, 23 Nov 2024 10:59:38 +0000</pubDate>
-    <lastBuildDate>Sat, 23 Nov 2024 10:59:38 +0000</lastBuildDate>
+    <pubDate>Sat, 23 Nov 2024 13:01:13 +0000</pubDate>
+    <lastBuildDate>Sat, 23 Nov 2024 13:01:13 +0000</lastBuildDate>
 
     <item>
       <title>OpenNLP Pre-trained Models 1.2 released</title>
diff --git a/models.html b/models.html
index 6205cff7..401d211c 100644
--- a/models.html
+++ b/models.html
@@ -168,6 +168,7 @@
 <li><a href="#part_of_speech_tagging">Part of Speech Tagging</a></li>
 </ul>
 </li>
+<li><a href="#maven_artifacts">Maven Artifacts</a></li>
 <li><a href="#verifying_signatures">Verifying Signatures</a></li>
 <li><a href="#sourceforge_resources">SourceForge Resources</a></li>
 </ul>
@@ -1411,6 +1412,30 @@ refer to every language listed below.
 </div>
 </div>
 <div class="sect1">
+<h2 id="maven_artifacts">Maven Artifacts</h2>
+<div class="sectionbody">
+<div class="paragraph">
+<p>All models listed above are also bundled in JAR files and distributed via 
<strong>Maven Central</strong>:</p>
+</div>
+<div class="ulist">
+<ul>
+<li>
+<p><a href="https://search.maven.org/search?q=opennlp%20models%20sentdetect"; 
class="external" target="_blank" rel="noopener">Sentence-Detector</a></p>
+</li>
+<li>
+<p><a href="https://search.maven.org/search?q=opennlp%20models%20tokenizer"; 
class="external" target="_blank" rel="noopener">Tokenization</a></p>
+</li>
+<li>
+<p><a href="https://search.maven.org/search?q=opennlp%20models%20lemmatizer"; 
class="external" target="_blank" rel="noopener">Lemmatizer</a>)</p>
+</li>
+<li>
+<p><a href="https://search.maven.org/search?q=opennlp%20models%20pos"; 
class="external" target="_blank" rel="noopener">POS Tagging</a>)</p>
+</li>
+</ul>
+</div>
+</div>
+</div>
+<div class="sect1">
 <h2 id="verifying_signatures">Verifying Signatures</h2>
 <div class="sectionbody">
 <div class="paragraph">

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