Abstract Subtitling involves constraints about differences between cultures. This requires a set of translation strategies, especially when subtitling from relatively conservative to more liberal study explores subtitlers’ strategies translating the Jordanian Arabic vernacular series Jinn into English. has been selected because it’s Netflix’s first Arabic-Jordanian containing explicit scenes an...

We present a novel algorithm, architecture, and high-level Simulink prototyping for visible watermarking of MPEG-4 video streams. The watermark is inserted in the video stream during compression, resulting in an optimized compression/watermarking algorithm and system. Discrete Cosine Transform (DCT) watermarking, due to its robust nature, was chosen in this work to accomplish MPEG-4 video copyr...

This study explores methods for developing a large scale Quality Estimation framework for Machine Translation. We expand existing resources for Quality Estimation across related languages by using different transfer learning methods. The transfer learning methods are: Transductive SVM, Label Propagation and Self-taught Learning. We use transfer learning methods on the available labelled dataset...

Dubbing, also known as voice-overs, is the most common way of presenting the audience with the materials in a movie. As this process requires time, budget, and a team of translators, voice-overs, voice recorders, etc., producers sometimes tend to release the movies in other languages through subtitling. This is a rather easier procedure, presenting the audience with the written translated text ...

The bourgeoning and rapid evolution of cloud-based applications has triggered profound transformations in the audiovisual translation (AVT) mediascape. By drawing attention to major changes that web-based ecosystems have introduced localisation workflows, we set out outline ways which these new technological advances can be embedded AVT classroom. Along lines, present study sets explore potenti...