This thesis addresses the issue of thranslating formal texts written in Czech into Czech sign language. The first chapter deals with stylistic factors influencing formal Czech written texts and also the sociocultural situation of the Czech deaf community. The second and third chapters characterize translation of sign language translation and various approaches to the process of translating both spoken and sign languages. The research is a comparative analysis of a sample of formal Czech written texts and their sign language translations. The findings are introduced in the conclusive part of the thesis. Keywords: Czech sign langueage, sign language interpreting, sign language translation, equivalent, stylistic factors, translation norm, oral languages, formal text

This thesis addresses the issue of translating formal texts written in Czech into Czech sign language. The first chapter deals with stylistic factors influencing formal Czech written texts and also the sociocultural situation of the Czech deaf community. The second and third chapters characterize translation of sign language translation and various approaches to the process of translating both spoken and sign languages. The research is a comparative analysis of a sample of formal Czech written texts and their sign language translations. The findings are introduced in the conclusive part of the thesis. Keywords: Czech sign language, sign language interpreting, sign language translation, equivalent, stylistic factors, translation norm, oral languages, formal text

<div>The study focused on creating and proposing a model that could accurately and precisely predict the occurrence of an American Sign Language gesture for an alphabet in the English Language</div><div>using the You Only Look Once (YOLOv3) Algorithm. The training dataset used for this study was custom created and was further divided into clusters based on the uniqueness of the ASL sign.</div><div>Three diverse clusters were created. Each cluster was trained with the network known as darknet. Testing was conducted using images and videos for fully trained models of each cluster and</div><div>Average Precision for each alphabet in each cluster and Mean Average Precision for each cluster was noted. In addition, a Word Builder script was created. This script combined the trained models, of all 3 clusters, to create a comprehensive system that would create words when the trained models were supplied</div><div>with images of alphabets in the English language as depicted in ASL.</div>