Andre Kåsen

Tagging a Norwegian Dialect Corpus

2019 · DSpace repository (University of Tartu)

This paper describes an evaluation of five data-driven Part-of-Speech (PoS) taggers for spoken Norwegian.The taggers all rely on different machine learning mechanisms: decision trees, hidden Markov models (HMMs), conditional random fields (CRFs), long-short term memory …

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

2025 · arXiv (Cornell University)

Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a key technique to enable efficient LLM inference …