Interpreting through AI: A note on the possibility of weaving ancient traditions with novel technologies

Yair Neuman, Marcel Danesi

Research output: Contribution to journalArticlepeer-review

Abstract

Language, like any other semiotic code, is a sign system whose forms (words, phrases, sentences, etc.) are governed by the standing for principle (SFP). However, the SFP is more complex to envision when ‘composite forms’ such as novels and dialogues are involved. In this article, and following the work of Bakhtin and Gasset, we present the idea that a composite semiotic form, such as a paragraph in a novel, does not stand for a simple referential situation only, but provides us with a context for anticipation. We show how these ideas can be expressed in the state-of-the-art language models in AI (Artificial Intelligence) and the way AI may provide us with novel directions for developing old practices of interpretation.

Original languageAmerican English
Pages (from-to)1119-1127
Number of pages9
JournalDigital Scholarship in the Humanities
Volume37
Issue number4
DOIs
StatePublished - 1 Dec 2022

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Language and Linguistics
  • Linguistics and Language
  • Computer Science Applications

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