Sökning: "Text matching"
Visar resultat 1 - 5 av 66 uppsatser innehållade orden Text matching.
1. The “Magic Gathering” of Comprehension Devices : A diachronic systemic functional linguistics analysis of MTG game card texts
Kandidat-uppsats, Stockholms universitet/Engelska institutionenSammanfattning : This study investigates the diachronic shift of revised card texts in the tabletop collectible card game ‘Magic: The Gathering’. The lexicogrammatical patterns found are compared to theories on comprehension and learning, and to the development of the game. LÄS MER
2. Evaluating Performance of Pattern Searching Algorithms on Wildcard Patterns
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The pattern matching problem is the problem of finding a set of sequential characters in a text of equal amount of characters or more. There are many applications for pattern matching algorithms e.g. search engines and databases. LÄS MER
3. 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
4. Detektering av fusk vid användning av AI : En studie av detektionsmetoder
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Denna rapport analyserar och testar olika metoder som syftar till att särskiljamänskligt genererade lösningar på uppgifter och texter från de som genereras avartificiell intelligens. På senare tid har användningen av artificiell intelligens setten betydande ökning, särskilt bland studenter. LÄS MER
5. Matching Trades with Confirmations via Contrastive Learning : Asymmetric Contrastive Learning on Text Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the banking world trades of securities are finalized every day, on behalf of the banks themselves or of their clients. When the trades have been booked by the front office the confirmations sent by the counterparty have to be checked and connected to the correct trade by hand, posing the question whether this process could not be automated using machine learning techniques. LÄS MER