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commit e659538d72a5abe35155002e5321bcdb19543591
Author: buildbot <[email protected]>
AuthorDate: Tue Nov 9 17:44:13 2021 +0000
Automatic Site Publish by Buildbot
---
feed.xml | 40 ++++++++++++++++++++--------------------
news/index.html | 2 +-
news/news-2021-05-30.html | 2 +-
3 files changed, 22 insertions(+), 22 deletions(-)
diff --git a/feed.xml b/feed.xml
index 61cace9..d80cd54 100644
--- a/feed.xml
+++ b/feed.xml
@@ -24,28 +24,10 @@
<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>Tue, 9 Nov 2021 17:34:59 +0000</pubDate>
- <lastBuildDate>Tue, 9 Nov 2021 17:34:59 +0000</lastBuildDate>
+ <pubDate>Tue, 9 Nov 2021 17:44:03 +0000</pubDate>
+ <lastBuildDate>Tue, 9 Nov 2021 17:44:03 +0000</lastBuildDate>
<item>
- <title>OpenNLP Pre-trained Models Available</title>
- <link>https://opennlp.apache.org/news/news-2021-05-30.html</link>
- <pubDate>Tue, 9 Nov 2021 17:34:29 +0000</pubDate>
- <guid isPermaLink="false">news/news-2021-05-30.html</guid>
- <description>
- <div class="sect1">
-<h2 id="opennlp_pre_trained_models_available">OpenNLP
Pre-trained Models Available</h2>
-<div class="sectionbody">
-<div class="paragraph">
-<p>Pre-trained sentence, parts of speech, and token models are now
available for English, French, Italian, German, and Dutch.
-These models were trained on Universal Dependencies and are intended to
provide usable models under the Apache 2.0 license.
-See the models' README for more information on the models including how
each was created and evaluated.</p>
-</div>
-</div>
-</div>
- </description>
- </item>
- <item>
<title>Apache OpenNLP 1.9.4 released</title>
<link>https://opennlp.apache.org/news/release-194.html</link>
<pubDate>Wed, 3 Nov 2021 00:00:00 +0000</pubDate>
@@ -99,6 +81,24 @@ See the models' README for more information on the
models including how eac
</description>
</item>
<item>
+ <title>OpenNLP Pre-trained Models Available</title>
+ <link>https://opennlp.apache.org/news/news-2021-05-30.html</link>
+ <pubDate>Sun, 30 May 2021 00:00:00 +0000</pubDate>
+ <guid isPermaLink="false">news/news-2021-05-30.html</guid>
+ <description>
+ <div class="sect1">
+<h2 id="opennlp_pre_trained_models_available">OpenNLP
Pre-trained Models Available</h2>
+<div class="sectionbody">
+<div class="paragraph">
+<p>Pre-trained sentence, parts of speech, and token models are now
available for English, French, Italian, German, and Dutch.
+These models were trained on Universal Dependencies and are intended to
provide usable models under the Apache 2.0 license.
+See the models' README for more information on the models including how
each was created and evaluated.</p>
+</div>
+</div>
+</div>
+ </description>
+ </item>
+ <item>
<title>Apache OpenNLP 1.9.3 released</title>
<link>https://opennlp.apache.org/news/release-193.html</link>
<pubDate>Fri, 31 Jul 2020 00:00:00 +0000</pubDate>
diff --git a/news/index.html b/news/index.html
index eba164c..6396bae 100644
--- a/news/index.html
+++ b/news/index.html
@@ -177,8 +177,8 @@ body {
<div class="span9">
<h2>News</h2>
<ul>
- <li><p>2021-11-09: <a
href="/news/news-2021-05-30.html">OpenNLP Pre-trained Models
Available</a></p></li>
<li><p>2021-11-03: <a
href="/news/release-194.html">Apache OpenNLP 1.9.4 released</a></p></li>
+ <li><p>2021-05-30: <a
href="/news/news-2021-05-30.html">OpenNLP Pre-trained Models
Available</a></p></li>
<li><p>2020-07-31: <a
href="/news/release-193.html">Apache OpenNLP 1.9.3 released</a></p></li>
<li><p>2019-12-26: <a
href="/news/release-192.html">Apache OpenNLP 1.9.2 released</a></p></li>
<li><p>2018-12-31: <a
href="/news/release-191.html">Apache OpenNLP 1.9.1 released</a></p></li>
diff --git a/news/news-2021-05-30.html b/news/news-2021-05-30.html
index 9897ea2..1796320 100644
--- a/news/news-2021-05-30.html
+++ b/news/news-2021-05-30.html
@@ -185,7 +185,7 @@ See the models' README for more information on the models
including how each was
</div>
</div>
- <p><em>09 November 2021</em></p>
+ <p><em>30 May 2021</em></p>
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