Sökning: "Contrastive Analysis"
Visar resultat 11 - 15 av 86 uppsatser innehållade orden Contrastive Analysis.
11. La proposition ou le syntagme ? : Une analyse structurelle de trois articles français et de leurs traductions suédoises
Magister-uppsats, Linnéuniversitetet/Institutionen för språk (SPR)Sammanfattning : The present study is based on a translation into Swedish of three French journalistic articles on energy sobriety. The study aims at comparing the source and the target texts, with regard to clause frequency and the use of various clause and phrase categories. LÄS MER
12. Negative Transfer from Arabic as a Major Reason for the Errors Made by Arabic Learners in their Written Production in English as a Second Language
Kandidat-uppsats, Södertörns högskola/EngelskaSammanfattning : The purpose of this research is to investigate the influence of negative transfer from Arabic as the most dominant influential factor among other possible factors that negatively affect Arabic learners resulting in them making errors in their written production in English as a second language. To perform this investigation, the author has collected and analysed 15 texts written by Arabic students enrolled in Grades 7, 8, and 9 of a lower secondary school. LÄS MER
13. Grunkor och spår
Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : Nyhamnen is an emerging area in Malmö located north of the central station and includes Inre hamnen (“Inner Harbor”) and Frihamnen (“Free harbor”). Traces of the port’s rich history are found in the architecture in the form of large reservoirs, silos, quays and other industrial buildings and objects. LÄS MER
14. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. LÄS MER
15. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. LÄS MER