This paper presents an emotion recognition system with textual input. In this system, an emotional semantic network is proposed to extract the semantic information related to emotion. The semantic network is composed of two subnetworks: a static semantic network and a dynamic semantic network. The static semantic network is established from an existing Chinese knowledge base called HowNet and u...

Despite rapid technological advancement and improvement in network bandwidth, people still like to use text for remote communication. Simplicity, directness and anonymity make textual chat the most popular method of communication in the technology-mediated world. In face-to-face communication, people can use gestures, facial expressions, eye gaze and other body languages to alter, emphasize or ...

Syntax Tree Concrete Syntax Model Abstract Syntax Model instance of instance of Textual Representation Parser input output Figure 1: Traditional language processing. Context-Free Grammar e.g. BNF Conceptual Model Textual Representation Parser Abstract Syntax Graph Concrete Syntax Model Abstract Syntax Model instance of instance of

Domain-specific modeling is more and more understood as a comparable solution compared to classical software development. Textual domain-specific languages (DSLs) already have a massive impactin contrast tographical DSLs, they still have to show their full potential. The established textual DSLs are normally generated from a domain specific grammar or maybe other specific textual descriptions. ...

Abstract This longitudinal study investigates the effect of mode reading on incidental learning collocations and factors that affect learning. One hundred Vietnamese pre-intermediate learners English as a foreign language (EFL) were assigned to either an experimental group or control (no treatment). In 9 weeks, read three graded readers containing 32 target in counterbalanced modes: reading-onl...

This paper describes the free software component JEmblazoner. JEmblazoner is a Java-based user interface for Content-based Image Retrieval (CBIR) in databases of coats of arms images. JEmblazoner allows to create coats of arms images from textual descriptions (socalled Blazons) that can be used as input for CBIR queries. In CBIR image databases are queried by qualitative features without the as...