The outcome of my simulated annealing program is a list of prerequisites to learn along with an indication, every so often, of what new goal has been reached.

Back in November, I wrote about programmed vocabulary learning as a travelling salesman problem.

I thought I'd write a quick Python script to check how many accents were on each of the lemmata in [MorphGNT] 5.06.

Well, it's been about a hundred hours work over the last six months, but I'm pleased to announce the release of a new version of [MorphGNT], the morphologically parsed Greek New Testament database made available under a Creative Commons license.

This month I should be doing another release of my morphologically-parsed Greek New Testament. This will be release 5.06.

I thought I'd outline my future plans (as they currently stand).

A couple of months ago, I talked about the current process I'm going through to identify errors in my morphologically parsed Greek New Testament, [MorphGNT]. By the end of April, I was down to 400 mismatches I needed to check. At the time, I thought I'd be able to finish going through them by the time I left to go to Europe on holiday.

I previously talked about wanting to implement the lexicon language DATR in Python. Well, I just received an email from Henrik Weber saying that (apparently inspired by my post) he has gone and done an implementation at http://pydatr.sourceforge.net/

For the last few months, I've been making corrections to [MorphGNT] by attempting to merge an English translation (NASB) marked with Strong's numbers with my database. Although it's a tedious process, it's revealing numerous errors.

BetaCode is a common ASCII transcription for Polytonic Greek. I've been dealing with it for around twelve years. (As an aside, back in 1994, I designed a METAFONT for Polytonic Greek that enabled one to use BetaCode in TeX—I typeset my self-published Index to the Greek New Testament with it).

I've been revisiting DATR, the lexical knowledge representation language, as a possible format for the next generation of [MorphGNT]. I was previously considering developing my own RDF/graph-based format but I suddenly remembered DATR from my student days and it makes a lot more sense to use it rather than try to build my own.