Learning a joint language-visual embedding has a number of very appealing properties and can result in variety of practical application, including natural language image/video annotation and search. In this work, we study three different joint language-visual neural network model architectures. We evaluate our models on large scale LSMDC16 [17,18] movie dataset for two tasks: 1) Standard Rankin...

Do people spontaneously form visual mental images when understanding language, and if so how truly visual are these representations? We test whether processing linguistic descriptions of motion produces sufficiently vivid mental images to cause direction-selective motion adaptation in the visual system (i.e., cause a motion aftereffect illusion). We tested for motion aftereffects (MAEs) followi...

In this study, the researcher chose three different vocabulary techniques (Visual Representation, Textual Enhancement, and Glossing) and compared them with traditional method of teaching vocabulary. 80 advanced EFL Learners were assigned as four intact groups (three experimental and one control group) through using a proficiency test and a vocabulary test as a pre-test. In the visual group, stu...

In the visual languages community there has been a growing consensus that visual languages will be most successful in the case of special purpose languages. Furthermore, their success will largely depend on the programming environment which is provided for them. Programming environment generators, generate programming environments for formally speciied languages. This paper discusses speciicati...

In this paper we present an approach to support selfregulated learnflows in the collaborative environment Metafora. In this environment students construct Visual Language Plans. Those plans model workflows of learning activities, which the students execute to solve complex learning scenarios across different tools. Visual Language plans were already used in the context of different pedagogical ...