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Posted to commits@opennlp.apache.org by gi...@apache.org on 2023/04/05 13:18:23 UTC

[opennlp-site] branch asf-site updated: Automatic Site Publish by Buildbot

This is an automated email from the ASF dual-hosted git repository.

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


The following commit(s) were added to refs/heads/asf-site by this push:
     new 8d29d8f2 Automatic Site Publish by Buildbot
8d29d8f2 is described below

commit 8d29d8f20c6963445f7e0fd6376154f51328164d
Author: buildbot <us...@infra.apache.org>
AuthorDate: Wed Apr 5 13:18:19 2023 +0000

    Automatic Site Publish by Buildbot
---
 building.html             |  2 +-
 code-conventions.html     |  2 +-
 feed.xml                  | 12 ++++++------
 news/news-2011-12-22.html |  2 +-
 news/release-160.html     |  2 +-
 news/release-182.html     |  2 +-
 news/release-193.html     |  2 +-
 7 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/building.html b/building.html
index c3a7b51a..71bf4399 100644
--- a/building.html
+++ b/building.html
@@ -176,7 +176,7 @@ body {
     <h1 class="title">Building from Source</h1>
 
     <div class="sect1">
-<h2 id="last_offical">Last Offical</h2>
+<h2 id="last_official">Last Official</h2>
 <div class="sectionbody">
 
 </div>
diff --git a/code-conventions.html b/code-conventions.html
index 1da3f98c..a3e88f6b 100644
--- a/code-conventions.html
+++ b/code-conventions.html
@@ -216,7 +216,7 @@ is contributed to the project should adhere to these guidelines.</p>
 <p>Within a class or interface, definitions should be ordered as follows:</p>
 </li>
 <li>
-<p>Inner classses</p>
+<p>Inner classes</p>
 </li>
 <li>
 <p>Class (static) variables</p>
diff --git a/feed.xml b/feed.xml
index 435c33d6..a3c90ed1 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>Wed, 15 Mar 2023 09:21:53 +0000</pubDate>
-    <lastBuildDate>Wed, 15 Mar 2023 09:21:53 +0000</lastBuildDate>
+    <pubDate>Wed, 5 Apr 2023 13:18:05 +0000</pubDate>
+    <lastBuildDate>Wed, 5 Apr 2023 13:18:05 +0000</lastBuildDate>
 
     <item>
       <title>Apache OpenNLP 2.1.1 released</title>
@@ -294,7 +294,7 @@ See the models&apos; README for more information on the models including how eac
 &lt;p&gt;Resolved issues building on Java 11.&lt;/p&gt;
 &lt;/li&gt;
 &lt;li&gt;
-&lt;p&gt;Usingstrict math for calculations for consistent evaluations.&lt;/p&gt;
+&lt;p&gt;Using strict math for calculations for consistent evaluations.&lt;/p&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;p&gt;Implement Serializable in langdetect and normalize.&lt;/p&gt;
@@ -789,7 +789,7 @@ This issue was discovered by Nishil Shah of Salesforce.&lt;/p&gt;
 &lt;div class=&quot;paragraph&quot;&gt;
 &lt;p&gt;The release contains the following noteworthy changes:
 - The Leipzig format support was improved to extract data for langdetect model training
-- Maxents loglikelihood treshold can be configured by the user
+- Maxents loglikelihood threshold can be configured by the user
 - Added data verification for the eval data
 - Fixed handling of xml parsers used through out the package&lt;/p&gt;
 &lt;/div&gt;
@@ -1254,7 +1254,7 @@ removed. Now Java 1.7 is required.&lt;/p&gt;
 &lt;div class=&quot;ulist&quot;&gt;
 &lt;ul&gt;
 &lt;li&gt;
-&lt;p&gt;Added evalutation support to the parser and doccat components&lt;/p&gt;
+&lt;p&gt;Added evaluation support to the parser and doccat components&lt;/p&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;p&gt;Added support to Evalita 07/09, Brat and OntoNotes corpus formats&lt;/p&gt;
@@ -1392,7 +1392,7 @@ validators.&lt;/p&gt;
 &lt;p&gt;OpenNLP is moving forward with new features, fixes and advancements for the New Year.&lt;/p&gt;
 &lt;/li&gt;
 &lt;li&gt;
-&lt;p&gt;Merry Chistmas &amp;amp; Happy New Year! Again&amp;#8230;&amp;#8203; yes, it has been another year.&lt;/p&gt;
+&lt;p&gt;Merry Christmas &amp;amp; Happy New Year! Again&amp;#8230;&amp;#8203; yes, it has been another year.&lt;/p&gt;
 &lt;/li&gt;
 &lt;/ul&gt;
 &lt;/div&gt;
diff --git a/news/news-2011-12-22.html b/news/news-2011-12-22.html
index c7845b7f..faf5b30a 100644
--- a/news/news-2011-12-22.html
+++ b/news/news-2011-12-22.html
@@ -184,7 +184,7 @@ body {
 <p>OpenNLP is moving forward with new features, fixes and advancements for the New Year.</p>
 </li>
 <li>
-<p>Merry Chistmas &amp; Happy New Year! Again&#8230;&#8203; yes, it has been another year.</p>
+<p>Merry Christmas &amp; Happy New Year! Again&#8230;&#8203; yes, it has been another year.</p>
 </li>
 </ul>
 </div>
diff --git a/news/release-160.html b/news/release-160.html
index 942a7166..5d46a317 100644
--- a/news/release-160.html
+++ b/news/release-160.html
@@ -202,7 +202,7 @@ removed. Now Java 1.7 is required.</p>
 <div class="ulist">
 <ul>
 <li>
-<p>Added evalutation support to the parser and doccat components</p>
+<p>Added evaluation support to the parser and doccat components</p>
 </li>
 <li>
 <p>Added support to Evalita 07/09, Brat and OntoNotes corpus formats</p>
diff --git a/news/release-182.html b/news/release-182.html
index 87b4b223..97261741 100644
--- a/news/release-182.html
+++ b/news/release-182.html
@@ -210,7 +210,7 @@ body {
 <div class="paragraph">
 <p>The release contains the following noteworthy changes:
 - The Leipzig format support was improved to extract data for langdetect model training
-- Maxents loglikelihood treshold can be configured by the user
+- Maxents loglikelihood threshold can be configured by the user
 - Added data verification for the eval data
 - Fixed handling of xml parsers used through out the package</p>
 </div>
diff --git a/news/release-193.html b/news/release-193.html
index 4e0ab426..9b9cdbd7 100644
--- a/news/release-193.html
+++ b/news/release-193.html
@@ -201,7 +201,7 @@ body {
 <p>Resolved issues building on Java 11.</p>
 </li>
 <li>
-<p>Usingstrict math for calculations for consistent evaluations.</p>
+<p>Using strict math for calculations for consistent evaluations.</p>
 </li>
 <li>
 <p>Implement Serializable in langdetect and normalize.</p>