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Showing result 1 - 5 of 28 essays matching the above criteria.
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1. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : 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. READ MORE
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2. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE
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3. Current state of AI Adoption in Swedish Banks: Rationales, Challenges, and Lessons Learned
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : 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. READ MORE
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4. Generating Wikipedia Articles with Grammatical Framework : A Case Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Characterizing, classifying and transforming language model distributions
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE