Sökning: "distributional semantics"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden distributional semantics.
1. Towards Machine Translation with Quantum Computers
Master-uppsats, Stockholms universitet/FysikumSammanfattning : This work explores the possibilities to use quantum computers and quantum based language models for machine translation. Precise translation requires vast expertise and knowledge of various languages, thus machine translationis still far from superseding humans. LÄS MER
2. Articulation rate as a means of distributing information and its effect on the N400-component
Kandidat-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : Information theoretical approaches to language state that the most efficient communication occurs when the amount of information transmitted is distributed as uniformly as possible over time. Previous research has shown that speakers tend to adhere to strategies for distributing information efficiently, using mechanisms at multiple linguistic levels. LÄS MER
3. Word Clustering in an Interactive Text Analysis Tool
Master-uppsats, Linköpings universitet/Interaktiva och kognitiva systemSammanfattning : A central operation of users of the text analysis tool Gavagai Explorer is to look through a list of words and arrange them in groups. This thesis explores the use of word clustering to automatically arrange the words in groups intended to help users. LÄS MER
4. Evaluating a Novel, Scalable Natural Language Processing Heuristic for Determining Semantic Relatedness
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Distributional semantics is a recent research field aiming to quantify how close one text is to another in terms of contextual meaning. In this study we propose and evaluate a novel distributional semantics model on how much agreement its predictions can yield with a set of 12,227 human opinions. LÄS MER
5. Finding Synonyms in Medical Texts : Creating a system for automatic synonym extraction from medical texts
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis describes the work of creating an automatic system for identifying synonyms and semantically related words in medical texts. Before this work, as a part of the project E-care@home, medical texts have been classified as either lay or specialized by both a lay annotator and an expert annotator. LÄS MER