2 papers
cs.CL2024
Analyzing Pokémon and Mario Streamers' Twitch Chat with LLM-based User Embeddings
Mika Hämäläinen, Jack Rueter, Khalid Alnajjar
We present a novel digital humanities method for representing our Twitch chatters as user embeddings created by a large language model (LLM). We cluster these embeddings automatica…
cs.CL2024
Leveraging Transformer-Based Models for Predicting Inflection Classes of Words in an Endangered Sami Language
Khalid Alnajjar, Mika Hämäläinen, Jack Rueter
This paper presents a methodology for training a transformer-based model to classify lexical and morphosyntactic features of Skolt Sami, an endangered Uralic language characterized…