Eye movement data have proven to be very useful for investigating human sentence processing. Eyetracking research has addressed a wide range of questions, such as recovery mechanisms following garden-pathing, the timing of processes driving comprehension, the role of anticipation and expectation in parsing, the role of semantic, pragmatic, and prosodic information, and so on. However, there are...

With the pervasive use of mobile devices with location sensing and positioning functions, such as Wi-Fi and GPS, people now are able to acquire present locations and collect their movement. As the availability of trajectory data prospers, mining activities hidden in raw trajectories becomes a hot research problem. Given a set of trajectories, prior works either explore density-based approaches ...

When attempting to memorize action sentences (e.g., open an umbrella), performing the action of the sentence (enacted encoding) results in better memory performance than simply memorizing the sentences (verbal encoding). This memory enhancement is called the enactment effect. Magnetoencephalography (MEG) was used to elucidate whether the enactment effect is due to physical motor information or ...

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...

This paper argues that Greek topicalization is an A’-movement dependency which headed by a property-denoting phrase (i.e., of type <e,t>), dislocated to left peripheral topic position (spec,TopicP). Crucially, at the syntax-semantics interface, must undergo total reconstruction, means obligatorily mapped logical form only comprises copy in thematic position. Through study I examin...

With the continuing active research on deep learning, stock price prediction using learning has been actively conducted in financial industry. This paper proposes a method for predicting movement and news data. The market is affected by many variables; thus, volatility should be considered movement. Because markets are efficient, all kinds of information quickly reflected prices. We create new ...

The subject of the article is congregation and its creation. Author provides characteristics for concept describes principles understanding becoming more relevant in 21st century. For both – society members necessary to understand purpose movement how they want participate activities this Law freedom religion, which means that state has no rights interrupt persons’ choice join membership. As we...

Semantic strategies are a kind of discourse strategy that include the sum of language and cognitive moves which are used to reach an adequate goal of communication normally resulting in text comprehension by the reader or listener. Here, the language user takes a number of steps in order to perform a complex task. Semantic strategies in prejudiced talk have been examined extensively in western ...