On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Marco Baroni
March 2022

A lively research field has recently emerged that uses experimental methods to probe the linguistic behavior of modern deep networks. While work in this tradition often reports intriguing results about the grammatical skills of deep nets, it is not clear what their implications for linguistic theorizing should be. As a consequence, linguistically-oriented deep net analysis has had very little impact on linguistics at large. In this chapter, I suggest that deep networks should be treated as theories making explicit predictions about the acceptability of linguistic utterances. I argue that, if we overcome some obstacles standing in the way of seriously pursuing this idea, we will gain a powerful new theoretical tool, complementary to mainstream algebraic approaches.
Format: [ pdf ]
Reference: lingbuzz/006031
(please use that when you cite this article)
Published in: To appear in collective volume on Algebraic Systems and the Representation of Linguistic Knowledge, ed. Shalom Lappin, Taylor and Francis 2022
keywords: deep networks, linguistic theory, blank slates, morphology, syntax
previous versions: v1 [June 2021]
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