I'm pleased to announce the immediate release of CasualConc 2.0 beta, a new version of CasualConc.
For the last couple of years, I've mostly worked on CasualTranscriber, which is now version 2.5. Now it has most of the functions I wanted to use. So I decided to update CasualConc.
CasualConc was first released in 2008 and has been constantly updated up until a couple of years ago. The release of OS X 10.9 Mavericks changed something in the developing environment and made me unable to update the project. This was partly due to the scripting language/bridge I used to write CasualConc.
This new version of CasualConc is almost entirely rewritten. It is written in RubyMotion, which is kind of a successor to RubyCocoa.
Due to the difference in regular expression engine, the speed of text processing is a bit slower with RubyMotion, it is compensated by parallel processing. Also due to the same reason, your search result might be slightly different from the one with the older version. This is because the two engines treat some symbols/marks differently.
This new version may not have all the functions you use with 1.9.x, so if you need a particular feature, please let me know. I'll see if I can bring it back to the new version.
CasualConc 2.0 has the following new and improved features:
- text mode
- opening a result window for Collocation and Word Count
- much faster File Info tools
- collocation frequency table
- utilization of build-in tagger and integration of TreeTagger (including an installer)
- integration of a statistical environment R (needs to be installed separately)
- keyword extraction with Mann-Whitney-U and Random Forest (requires R)
- visualization of frequency information (requires R)
- and more...
A manual, which covers most of the features, is available and help is included in the application.
CasualConc 2.0 beta is compatible with Mac with OS X 10.9 Mavericks or later, including 10.11 El Capitan.
It is very likely that this version still has many problems. Please try it and if you find any problems, your feedback is greatly appreciated.
This slideshow (in Japanese) presents new features. Text is minimal (mostly screenshots).
