jettyke Wrote:Question, what are you going to do about really long sentences, because there are lots of them in media?
In what sense? I guess long sentences are useful for practicing listening comprehension, but I'd rather avoid them when learning words/grammar if possible. Thus the idea of assigning costs to word<->sentence pairings based on length. If that's the only sentence with the word you want to learn (or if the other sentences with the word are better suited for other words you want to learn) then you eat the cost.
jettyke Wrote:As I understand it, you promote not learning all the sentences from a single show, but learning the most suitable words from numerous dramas, not covering all the words.
Not sure if it's "promoting" so much as "I'd like to try it because it sounds better in theory", but yes, the idea is to create a DB of words you want to learn and throw the matching algorithm against some large subs2deck of a show you've seen before to find optimal sentences to learn them from. If you'd particularly like to focus on examples from some subset of your deck (like a particular episode of a show) then you could adjust the cost function so that those facts are relatively cheap.
