Sökning: "Text Prediction"
Visar resultat 1 - 5 av 72 uppsatser innehållade orden Text Prediction.
1. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER
2. Speech Classification using Acoustic embedding and Large Language Models Applied on Alzheimer’s Disease Prediction Task
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Alzheimer’s sjukdom är en neurodegenerativ sjukdom som leder till demens. Den kan börja tyst i de tidiga stadierna och fortsätta under åren till en allvarlig och obotlig fas. Språkstörningar uppstår ofta som ett av de tidiga symptomen och kan till slut leda till fullständig mutism i de avancerade stadierna av sjukdomen. LÄS MER
3. Data Assimilation for Systems with Multiple Timescales
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This text provides an overview of problems in the field of data assimilation. We explore the possibility of recreating unknown data by continuously inserting known data into certain dynamical systems, under certain regularity assumptions. LÄS MER
4. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM
Master-uppsats, KTH/Matematik (Inst.)Sammanfattning : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. LÄS MER
5. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER