Hi all, just a general question below on “comprehensible input” and ChatGPT. Has anyone on Textkit started using it to produce “comprehensible input” (or at least a first draft of comprehensible input for review and correction by a classicist)?
Background
I have very much been of the “composition” approach to classics, and still am, toiling away over the smallest elements of a text to make it as close to an ancient text as possible (and thereby to learn more about ancient texts as the final end). You can see my approach here (for which I was kindly given a cash prize: which I waived of course, since as someone who is not a fee-paying university student, I didn’t want to accept cash from academics who need it most to do their great work on which I heavily rely as an outsider; in return I was very kindly sent one of the Antigone editor’s personal books): https://antigonejournal.com/wp-content/uploads/2023/02/Socrates-vs-Hawking-Bochan.pdf
However, I’m now curious as to where the “other” approach has reached: active learning, comprehensible input, that whole movement, and will delve into this for a year or so in parallel with my traditional “composition” approach, as a bit of a sandbox.
I remember in a previous Textkit conversation calculating that, based on an article by Krashen, the comprehensible input approach would need somewhere between 30k and 5.85m words for learners, and I guessed that machine learning in the future might be able to assist with this (if properly edited by a human classicist: there’s my paranoid “composition” approach shining through). See that thread here: http://discourse.textkit.com/t/krashen-and-ancient-greek-teaching-methods/15043/1
With ChatGPT I just tested the first sentence of Lingua Latina in this way:
Using this Latin sentence as a model: “Roma in Italia est”, can you produce 10 more examples in Latin which only feature four words: (1) a city or country as the subject in the nominative, (2) a prepositional phrase in Latin made up of “in” plus a country or continent in the ablative, and (3) the copula “est” or “sunt” (as appropriate, depending on the number of the subject)?
It then responded:
Certainly! Here are ten examples in Latin that follow the specified model:
Athenae in Graeciā sunt. (Athens is in Greece.)
Carthāgō in Āfricā est. (Carthage is in Africa.)
Londinium in Britanniā est. (London is in Britain.)
Corduba in Hispāniā est. (Cordoba is in Hispania.)
Byzantium in Thrāciā est. (Byzantium is in Thrace.)
Tarentum in Italiā est. (Tarentum is in Italy.)
Massilia in Galliā est. (Massilia is in Gaul.)
Tyrus in Phoeniciā est. (Tyre is in Phoenicia.)
Numantia in Celtiberiā est. (Numantia is in Celtiberia.)
Byzantium in Europā est. (Byzantium is in Europe.)
I’m guessing that someone (not me: I’m looking into something else for the moment) could easily do this for each new sentence structure in Lingua Latina and produce a large set of comprehensible input pretty quickly, which could then be reviewed by people on this forum or elsewhere.
Cheers, Chad