Recognizing military vehicles in social media images using deep learning

This paper presents a system that uses machine learning to recognize military vehicles in social media images. To do so, the system draws on recent advances in applying deep neural networks to computer vision tasks, while also making extensive use of openly available libraries, models and data. Training a vehicle recognition system over three classes, the paper reports on two experiments that use different architectures and strategies to overcome the challenges of working with limited training data: data augmentation and transfer learning. The results show that transfer learning outperforms data augmentation, achieving an average accuracy of 95.18% using 10-fold cross-validation, while also generalizing well on a separate testing set consisting of social media content.Peer reviewe

The interface between rhetoric and layout in multimodal artefacts

Peer reviewe

Reading paths and visual perception in multimodal research, psychology and brain sciences

Peer reviewe

The localisation of advertising print media as a multimodal process

Peer reviewe

Modelling multimodal genre in print media : A case study of tourist brochures

Non peer reviewe

Individual and Collaborative Semiotic Work in Document Design

This article examines the concepts of agency, transformation and transduction in the context of document design. These concepts have been previously used to describe communicative actions and sign-making among individuals: whereas agency focuses on the individual’s capabilities as a sign-maker, transformation and transduction describe how individuals transform meanings within one mode of communication or from one mode to another. Organizational communication, however, is rarely an individual effort, particularly in corporate settings: producing multimodal documents that communicate on behalf of entire organizations, such as annual reports, constitutes a collaborative effort involving a variety of specialists, such as concept planners, copywriters and graphic designers.In the age of increasing specialization, this kind of collaborative semiotic work raises questions about agency, transduction and transformation. In this context, the concepts of agency and transmodality, which emphasize the individual, appear to have reduced explanatory power. This leads to the central question of this article, that is, how can the collaborative design process be captured and how does it affect the multimodal structure of annual reports? By analyzing an annual report published by Finnair and interviewing its designers, this article aims to illuminate the design process and its consequences to the document in question

Applied Language Technology : NLP for the Humanities

Peer reviewe

Multimodal genre analysis

Peer reviewe