Graph grammars can be used to model the development of diverse graph families. Since their creation in late 1960s, have found usage a variety fields, such as design sophisticated computer systems and electronic circuits, well visual languages, animation, even modelling intricate molecular structures Replacement edges nodes are two primary approaches rewriting. In this paper we introduce new typ...

I exhibit a systematic way to derive neural nets for vision problems. It involves formulating a vision problem as Bayesian inference or decision on a comprehensive model of the visual domain given by a probabilistic grammar.

This investigation examined the mixed effects of visual input enhancement, explicit instruction, pushed output, and corrective feedback on noticing and intake of English conjunctive adverbs. Participants included 83 intermediate EFL students enrolled in a grammar and writing course. They were assigned to a control group (n = 22), explicit instruction + pushed output + explicit corrective feedba...

research interests are multimodality, social semiotics and critical discourse analysis. 139 visual communication 4(2) 138 visual communication 4(2) INTRODUCTION I began studying visual communication as a linguist concerned with the discourses, genres and styles of media texts, 20 years ago. It had become increasingly obvious to me that it was no longer adequate to study just the linguistic aspe...

The present study investigated comparatively the impact of two types of input enhancement (i.e. textual vs. compound enhancement) on developing grammar ability in Iranian EFL setting. Sixty-five female secondary high school students were selected as a homogenous sample out of about a 100-member population based on Nelson language proficiency test. Then, their grammar ability was measured based ...

We present a multi-modal dialogue system for interactive learning of perceptually grounded word meanings from a human tutor (Yu et al., ). The system integrates an incremental, semantic, and bidirectional grammar framework – Dynamic Syntax and Type Theory with Records (DS-TTR1, (Eshghi et al., 2012; Kempson et al., 2001)) – with a set of visual classifiers that are learned throughout the intera...

We present a trainable, visually-grounded, spoken language understanding system. The system acquires a grammar and vocabulary from a “show-and-tell” procedure in which visual scenes are paired with verbal descriptions. The system is embodied in a table-top mounted active vision platform. During training, a set of objects is placed in front of the vision system. Using a laser pointer, the system...

Language is immersed in a rich and active environment. One general dimension of that environment, feedback, may contribute greatly to learning language structure. Artificialgrammar learning offers an experimental means of exploring different kinds of potential feedback. In this paper, two experiments sought to investigate the role of feedback in an artificial-grammar learning task designed to r...