It's still early days yet, but check this out.
You use MorphMan to input a stripped copy of a novel and get a list of its unknowns, right? Hopefully there's a way to use regexp to tally them by punctuation and by line, so you can have sentence and paragraph level totals of the unknowns. Also this kind of information changes as we study, of course, so having it integrated as a tool would be good to periodically update the numbers. (Like I just bugged Overture about adding some stuff to the MorphMan GUI thingy.)
Once you have that information, you can highlight unknown words or otherwise mark them as visual aids, which would be good for homing in with Rikaisan as you read. Perhaps turn them into inline clozes.
But here's the good part that I'm going to experiment with if I can find out how to count unknowns without that per sentence/line iPlusN information currently in MorphMan (if not I can always do something with importing into Anki then re-exporting): if we have totals per sentence and per paragraph, we can turn those into navigational links!
Like you add the number or something to the end of a line, of how many unknowns were in that sentence. Then you click it to take you to the next sentence with that number of unknowns! It would make for a smoother reading experience because you woudn't be excising the intervening lines, they'd be right there for backlooping or simply deciding to push yourself, etc. You could probably add more flexibility to the navigation for going forward and backward to lines and lines with X number of unknowns. Perhaps with keyboard shortcuts? Or hiding and showing sections?
I presume this would also make it easier to turn texts into cards by number of unknowns (rather than purely through Rikaisan or wholesale).
The paragraph level unknowns would be a mid-level navigator and would also give a more incremental knowledge of unknowns per section of the text.
I don't know, just some formatting stuff to think about that JNF might be able to work with. As always, these are just rough speculations that I'm rambling about.
You use MorphMan to input a stripped copy of a novel and get a list of its unknowns, right? Hopefully there's a way to use regexp to tally them by punctuation and by line, so you can have sentence and paragraph level totals of the unknowns. Also this kind of information changes as we study, of course, so having it integrated as a tool would be good to periodically update the numbers. (Like I just bugged Overture about adding some stuff to the MorphMan GUI thingy.)
Once you have that information, you can highlight unknown words or otherwise mark them as visual aids, which would be good for homing in with Rikaisan as you read. Perhaps turn them into inline clozes.
But here's the good part that I'm going to experiment with if I can find out how to count unknowns without that per sentence/line iPlusN information currently in MorphMan (if not I can always do something with importing into Anki then re-exporting): if we have totals per sentence and per paragraph, we can turn those into navigational links!
Like you add the number or something to the end of a line, of how many unknowns were in that sentence. Then you click it to take you to the next sentence with that number of unknowns! It would make for a smoother reading experience because you woudn't be excising the intervening lines, they'd be right there for backlooping or simply deciding to push yourself, etc. You could probably add more flexibility to the navigation for going forward and backward to lines and lines with X number of unknowns. Perhaps with keyboard shortcuts? Or hiding and showing sections?
I presume this would also make it easier to turn texts into cards by number of unknowns (rather than purely through Rikaisan or wholesale).
The paragraph level unknowns would be a mid-level navigator and would also give a more incremental knowledge of unknowns per section of the text.
I don't know, just some formatting stuff to think about that JNF might be able to work with. As always, these are just rough speculations that I'm rambling about.
Edited: 2011-06-28, 10:09 am
