2024
Analyzing the Understanding of Morphologically Complex Words in Large Language Models
COLING 2024main
We empirically study the ability of a Large Language Model (gpt-3.5-turbo-instruct) to understand morphologically complex words. In our experiments, we looked at a variety of tasks to analyse German compounds with regard to compositional word formation and derivation, such as identifying the head no…