Sökning: "Computational Linguistics"
Visar resultat 1 - 5 av 31 uppsatser innehållade orden Computational Linguistics.
1. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish
Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. LÄS MER
2. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Thousands of historical ciphers, encrypted manuscripts, are stored in archives across Europe. Historical cryptology is the research field concerned with studying these manuscripts - combining the interest of humanistic fields with methods of cryptography and computational linguistics. LÄS MER
3. Current state of AI Adoption in Swedish Banks: Rationales, Challenges, and Lessons Learned
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : The field of Artificial Intelligence (AI) continues to revolutionise numerous sectors, and the banking industry is no different. This study investigates the rationales, challenges, and lessons learned from AI incorporation within Sweden's banking system. LÄS MER
4. Generating Wikipedia Articles with Grammatical Framework : A Case Study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Natural language generation is a method used to produce understandable texts in human languages from data [1]. Grammatical Framework is a grammar formalism and a functional programming language using a nonstatistical approach to build natural language applications. LÄS MER
5. Characterizing, classifying and transforming language model distributions
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Large Language Models (LLMs) have become ever larger in recent years, typically demonstrating improved performance as the number of parameters increases. This thesis investigates how the probability distributions output by language models differ depending on the size of the model. LÄS MER