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At the end of my blog post yesterday I hinted at an exciting possible approach to Ubiquity’s localization:

In the future we ideally could build a web-based system to collect these “utterances.” We could … generate parser parameters based on those sentences. That would essentially reduce the parser-construction process to a more run-of-the-mill string translation process.

If we build this type of “command-bank” of common Ubiquity input translated into various languages, we could build a tool to learn various features of each language and generate each parser, essentially learning the language based on data. Today I’ll elaborate on how I believe this could be possible, by analogy to another language learning device: the human.

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As more and more people have been using my Yet Another Related Posts Plugin for WordPress, I thought it would be nice to have an RSS feed for users to stay on top of the latest releases.

Clicking on a version’s permalink will let you download the plugin. Subscribe now and be the first to find out when the upcoming version 2.1 is released!

I decided to semi-automate this RSS-producing process as well. As a plugin developer using wordpress.org’s plugin hosting, I sync a local copy of the plugin to their server using SVN. I wrote a PHP script to get the modification date information directly from the local files, parse the version log in the read me, and produce the RSS feed. If there’s an interest, perhaps I’ll release this code in the future.