| Wow. This feels like someone has taken a Borges parody and ran with it: > What is the scope of the new "Wikipedia of functions"? > [...] Vrandečić explained the concept of Abstract Wikipedia and a "wiki for functions" using an example describing political happenings involving San Francisco mayor London Breed: > "Instead of saying "in order to deny her the advantage of the incumbent, the board votes in January 2018 to replace her with Mark Farrell as interim mayor until the special elections", imagine we say something more abstract such as elect(elector: Board of Supervisors, electee: Mark Farrell, position: Mayor of San Francisco, reason: deny(advantage of incumbency, London Breed)) – and even more, all of these would be language-independent identifiers, so that thing would actually look more like Q40231(Q3658756, Q6767574, Q1343202(Q6015536, Q6669880)). > [...] We still need to translate [this] abstract content to natural language. So we would need to know that the elect constructor mentioned above takes the three parameters in the example, and that we need to make a template such as {elector} elected {electee} to {position} in order to {reason} (something that looks much easier in this example than it is for most other cases). And since the creation of such translators has to be made for every supported language, we need to have a place to create such translators so that a community can do it. I'm not sure I'm smart enough to decide if this is all really stupid or not. If I had to summarize my feelings it would probably be along the lines of Q6767574, (Q6015536, Q654880), Q65660. |
A simple example: in Spanish you don't say "I like X" but "X pleases me". In Dutch you say, "I find X tasty" or "X is good" or something else entirely, depending on what X is. Those are three fairly close languages. How can you encode that simple sentence in such a way that it translates properly for all languages, now and in the future?
Symbolic representation isn't going to cut it outside a very narrow subset of language. It might work for highly technical, unambiguous, simple content, but not in general. Whatever you think of ChatGPT, it shows that a neural network can't be beaten for linguistic representation.