<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for build-vocabulary</title>
    <link>https://pypi.org/project/build-vocabulary/</link>
    <description>Recent updates to the Python Package Index for build-vocabulary</description>
    <language>en</language>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.9/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Fri, 10 May 2024 14:43:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.8/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Mon, 15 Apr 2024 18:05:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.7/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Thu, 28 Mar 2024 15:19:47 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.6/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Wed, 31 Jan 2024 16:38:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.5/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Wed, 31 Jan 2024 12:34:47 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.4/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Wed, 31 Jan 2024 11:06:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.3/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Sat, 13 Jan 2024 07:23:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.2/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Sat, 13 Jan 2024 07:19:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.1/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Sat, 13 Jan 2024 06:58:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/build-vocabulary/0.1.0/</link>
      <description>This program is capable of splitting English text into individual words and can focus on learning unfamiliar words through its filtering feature..</description>
<author>gfanqi@qq.com</author>      <pubDate>Sat, 13 Jan 2024 06:58:02 GMT</pubDate>
    </item>  </channel>
</rss>