Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

Content analysis of job ads has been used to inform curriculum renewal in many disciplines, but it is not commonplace in Translation Studies. This paper aims to identify qualifications and competences in the translation market through content analysis of translation job ads in China. Four hundred and twenty-nine job ads were collected from the two…

This dissertation focuses on when and how children learn about the meanings of the propositional attitude" verbs know" and "think". "Know" and "think" both express belief. But they differ in their veridicality: "think" is non-veridical and can report a false belief; but "know" can only…