I too would like to add my thanks for this. The lack of rikaichan and
bookmark sync were the two tools stopping me from switching from
Firefox to Chrome, I tried jdic-chrome and it worked straight away, I
was delighted. Now that I know they're both in the pipeline I've
switched from Firefox as I couldn't stand it any longer. However I had
lots of problems with the beta channels of Chrome so had to revert to
the stable release and it won't run jdic-chrome for now. Am I right in
thinking that eventually Google Chrome will be updated and I can
install jdic-chrome in the stable version? Sorry for asking such a
simple question.

On Oct 9, 12:11 pm, Andrew Richards <tum...@gmail.com> wrote:
> Hello. Recently, a friend of mine moved to Japan, and he was
> complaining about Firefox's sluggishness relative to WebKit-based
> browsers. He could not switch to Chrome because he frequently used the
> extension called rikaichan for Firefox, so I offered to recreate it
> for him on Chrome/Chromium. I made it specifically for him, but I'm
> sharing it in case anyone else is interested.
>
> I named the extension jdic-chrome, and created a repository on 
> GitHub:http://github.com/tumult/jdic-chrome
>
> Screenshot:http://files.chip.vg/jdic-chrome-screenshot.png
>
> You can download a packed (.crx) version of the extension 
> here:http://cloud.github.com/downloads/tumult/jdic-chrome/jdic-chrome-buil...
> [13.5mb]
>
> Please note that I do not know Japanese, so I cannot offer any help on
> any requests that require knowledge of the language.
>
> I may not update this file regularly, so in the future you might want
> to download it from source or check the GitHub repository for updates.
>
> It currently lacks many features other people may find useful. You can
> see the list of problems on the GitHub repository.
>
> The only interesting technical problem currently faced is the very
> high memory usage of the dictionary data. It exists as a very large
> set of JSON objects, preprocessed from the EDICT file format. Once
> loaded, the size bloats by about 10x. It appears to be outrunning the
> garbage collector. Forcing garbage collection (via opening the
> inspector and connecting the V8 debugger) reduces it by half, but it
> still remains around 130mb. Loading the data as JSON parsing on XHR
> requests was worse than including .js files with the objects in them,
> both in terms of loading speed and memory usage.
>
> I considered creating a separate index and holding the contents of the
> dictionary in memory as a large string, but I was more concerned with
> CPU usage than saving 50mb. If I had more inclination to work on that
> problem, it might have been worth profiling to see the difference in
> terms of lookup speed. With the current method, the cursor can be
> tracked and words can be looked up at ~50ms intervals with a minimal
> CPU hit (on the background page which is actually doing the lookups,
> that is. The animated bubble and DOM selection setting uses a fair bit
> on the client pages.)
>
> Another solution would be to use NPAPI and do it in a much more
> efficiently in a plugin, but I wanted to try something quite goofy and
> fun with JavaScript, and it ended up working out ok.

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