Lecture image placeholder

Premium content

Access to this content requires a subscription. You must be a premium user to view this content.

Monthly subscription - $9.99Pay per view - $4.99Access through your institutionLogin with Underline account
Need help?
Contact us
Lecture placeholder background

workshop paper

ACL 2024

August 15, 2024

Bangkok, Thailand

Rules in nets? LLMs’ morphological analyses of rare and complex FST-generated Finnish word forms

keywords:

gpt-4

llm

finnish

morphology

Rule-based language processing systems have been overshadowed by neural systems in terms of utility, but it remains unclear whether neural NLP systems, in practice, learn the grammar rules that humans use. This work aims to shed light on the issue by evaluating state-of-the-art LLMs in a task of morphological analysis of complex Finnish noun forms. We generate the forms using an FST tool, and they are unlikely to have occurred in the training sets of the LLMs, therefore requiring morphological generalisation capacity. We find that GPT-4-turbo has some difficulties in the task while GPT-3.5-turbo struggles and smaller models Llama2-70B and Poro-34B fail nearly completely.

Next from ACL 2024

Multi-hop Database Reasoning with Virtual Knowledge Graph
workshop paper

Multi-hop Database Reasoning with Virtual Knowledge Graph

ACL 2024

+2Yeon SeonwooAlice OhJuhee Son
Juhee Son and 4 other authors

15 August 2024

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2023 Underline - All rights reserved