Oh, I'm under no illusions that it's a universally applicable string matcher. What it seems to be useful for is normalizing human input in situations where someone can pick the best match. It handles typical normalization transforms well (word fragments, transpositions) and is very easy to index.
In my example, DPRK is the objective best answer .. There's pretty clearly a correct match in the value domain, the challenge is to help the user find it as quickly as possible.
In my example, DPRK is the objective best answer .. There's pretty clearly a correct match in the value domain, the challenge is to help the user find it as quickly as possible.