Sökning: "statistical language models"
Visar resultat 1 - 5 av 49 uppsatser innehållade orden statistical language models.
1. Initial Development and Validation of Language-Based Assessments for Meaningful Change
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER
2. Models, Keys, and Cryptanalysis: Evaluating historical statistical language models in cryptanalysis of homophonic substitution ciphers
Kandidat-uppsats, Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : This thesis presents an empirical study connected to historical cryptography and especially within the framework of the research project DECRYPT. One of the research questions in the DECRYPT project relates to the use of language models for automatic cryptanalysis. LÄS MER
3. Air quality prediction in metropolitan areas using deep learning methods
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. LÄS MER
4. SAX meets Word2vec : A new paradigm in the time series forecasting
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The purpose of this thesis was to investigate whether some successful ideas in NLP, such as word2vec, are applicable to time series prob- lems or not. More specifically, we are interested to assess a combina- tion of previously proven methods such as SAX and Word2vec. LÄS MER
5. Contextual short-term memory for LLM-based chatbot
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. LÄS MER