This study aims to investigate the manifestations of instrumental translation competence (ITC) in translator training programs in six Saudi universities. It explores students' knowledge and skills in ITC in terms of training and translation courses, translation tools, and usage patterns, drawing on the PACTE group of translation competence. In…

The ever-increasing demand for immediate access to information means interpreters and translators are increasingly using, and relying on, digital technology in their work. In the migratory context, machine translation (MT) and post-editing (PE) have the potential to greatly increase the efficiency of public service interpreting and translation…

The present research investigates how translators deal with the challenges of translating culture-specific words from Thai into English within a digital environment. Using strategies suggested by Baker (2018), the study collected data from surveys, written sources and observations to examine which approaches are used by translators. It also…

Measuring the quality of information and communication technology (ICT) tools and their impact on learning outcomes is not an easy task. Carol Chapelle, the leading authority on the evaluation of computer-assisted language learning (CALL) tools, wrote in 2008: 'Evaluation of innovation is perhaps the most significant challenge teachers and…

The technologisation and industrialisation of the translation process have had an impact on translation practice and, consequently, on the way translators carry out their translation-related research. This necessitates a response from the research communities to examine this impact and the ensuing changes in translation practice, with the way…

Although translation students at the college of Languages and Translation in Saudi Arabia take two courses in computer applications in translation, these two courses are inadequate in preparing translation graduates for the translation job market. Results of an interview questionnaire have showed that the content of these courses is inadequate. In…

The goal of this dissertation is to introduce a method for deriving morphemes from Arabic words using stem patterns, a feature of Arabic morphology. The motivations are three-fold: modeling with morphemes rather than words should help address the out-of-vocabulary problem; working with stem patterns should prove to be a cross-dialectally valid…

Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the…

Topic models like latent Dirichlet allocation (LDA) provide a framework for analyzing large datasets where observations are collected into groups. Although topic modeling has been fruitfully applied to problems social science, biology, and computer vision, it has been most widely used to model datasets where documents are modeled as exchangeable…

Hesitation disfluencies after phonetically prominent stranded function words are thought to reflect the cognitive coding of complex structures. Speech fragments following the Swedish function word "att" "that" were analyzed syntactically, and divided into two groups: one with "att" in disfluent contexts, and the other with "att" in fluent…

Speech recognition is one of five main areas in the field of speech processing. Difficulties in speech recognition include variability in sound within and across speakers, in channel, in background noise, and of speech production. Speech recognition can be used in a variety of situations: to perform query operations and phone call transfers; for…

Trends and developments in computer applications in Chinese language research are described, focusing on these areas: input of Chinese characters and Chinese corpus; automatic segmentation of Chinese written text in corpus; development of a grammar knowledge base for Chinese words to be used as a resource for text segmentation and corpus…