Sökning: "Swedish Language Models"
Visar resultat 1 - 5 av 208 uppsatser innehållade orden Swedish Language Models.
1. Thinking Outside the Box Inside the Chat Box - The Impact of Large Language Models on Innovation
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Innovation is a key driver in the pursuit of development for both organizations and society. The development of large language models (LLMs) is disrupting industries and redefining various tasks traditionally performed by humans, including how innovation could be conducted. LÄS MER
2. WHO’S AFRAID OF COMPLEXITY? An Exploration of the Influence of Native Language Complexity on L2 Complexity
Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : The matter of linguistic complexity has been widely scrutinised in the last few decades, within theoretical linguistics, as well as in second language acquisition studies. A concept introduced in the last half of the previous century, it continues to be a matter of debate in the linguistic field, as it eludes a clear-cut definition and interpretation. LÄS MER
3. The Effectiveness of Word Focused Tasks. How Elaborate Processing Predicts Vocabulary Learning. A Literature Review.
Uppsats för yrkesexamina på avancerad nivå, Göteborgs universitet / LärarutbildningsnämndenSammanfattning : L2 vocabulary learning is a sizeable challenge for all EFL students. Particularly, the lexical threshold for reading is a substantial learning feat requiring time and effort. Vocabulary research indicates that incidental learning alone is not sufficient for learners to achieve a functional EFL vocabulary. LÄS MER
4. Strukturer och värderingar av bevis
Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : The main purpose of this study was to investigate the structure of Swedish students’ mathematical argumentation and what values teacher show when ranking student solutions. This qualitative study used a clinical, task-based interview (N = 4). LÄS MER
5. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER