On Sep 11, 2010, at 21:02, Robin Lee Powell wrote:
I want to be able to generate *at least* a formal dictionary, flashcards, simple definitions, and glossing, from one datasource, easily, with the data source being as simple as possible.
Aaaaaaah. I see now. Such as how smart.fm needed additional text to describe each place of a gismu.
I think that this problem falls under NLP, because the text needed in each case is not *regular* (that is, related in a systematic way to the other cases). For example, I've tweaked the smart.fm definitions because the existing more-regular (though still hand-written) ones were misleading in English. (I don't think I kept notes on which ones I changed; the only example I remember was x2 of troci => "something tried", which is wrong but not a good example of the generic type of wrongness.)
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