Abstract We set out to develop a language-agnostic ASR model for the phonetic transcription of speech into the International Phonetic Alphabet (IPA). While NLP and Automatic- Speech-Recognition (ASR) have made immense ...

Abstract This study explores the potential of LLMs in the technical writing process at Saab Aeronautics. The technical writing process is investigated by interviewing technical writers, collecting insights regarding the ...

Abstract This thesis tests the performance of LLMs on pre-generated L2 Swedish learning content across beginner to intermediate CEFR levels (A1–B2) by employing them into a self-developed language learning game (including ...

Abstract Large Language Models (LLMs) have made significant strides in automated code generation. For example, Github Copilot based on the CodeX model, is the first to generate complete functions directly from natural ...

This study advances Amharic dependency parsing by expanding and refining the existing Universal Dependencies (UD) Treebank (Seyoum, Miyao, and Mekonnen, 2018). As a morphologically rich and under-resourced language, ...

In task-oriented dialogue systems (TODS), Natural Language Understanding (NLU) is fundamental to interpreting user intent and extracting semantic information. However, training robust NLU models often requires large ...

This study investigates language modeling on developmentally plausible corpora under low-resource constraints, conducted within the scope of the BabyLM shared task, specifically focusing on the Strict-small track. We ...

This study develops and evaluates a multimodal pipeline for studying interactive drawing in a robot-assisted language learning scenario with human participants. A social robot is paired with a vision-language model (VLM) ...