The empirical focus of this paper is a conversational turn-taking phenomenon in which conjunctions produced immediately after a point of possible syntactic and pragmatic completion are treated by co-participants as points of possible completion and transition relevance. The data for this study are audio-video recordings of 5 unscripted face-to-face interactions involving native speakers of US E...

Writing is considered one of the most difficult skills in EFL/ESL. Thus, meticulous recognition and classification of students’ errors in certain contexts is a worthwhile endeavor which provides us with both diagnostic and prognostic power. Accordingly, a total of 430 students in 15 English writing classes held during 12 consecutive semesters in a private university in central Taiwan were the s...

M. Donk (1999) showed that various data patterns that have been considered as evidence for the existence of illusory conjunctions may be due to errors of target-nontarget confusion, an account that challenges the mere existence of illusory conjunction. In a reply, W. Prinzmetal, J. Diedrichsen, and R. B. Ivry (2001) argued against this conclusion, claiming that some earlier findings can be expl...

There exist eight conjunctions in Georgian used to express semantic or pragmatic contrast, which constitute an implicational hierarchy: aramed > oγond > tumca > magram > k'i//k'idev > xolo > tu > da. The given string is organized in such a way that the skill of conjunctions to express contrasting bindings is decreasing from the left to the right. On the basis of functional-semantic analysis of ...

BACKGROUND Color and motion serve as the prime examples of segregated processing in the visual brain, giving rise to the question how color-motion conjunctions are represented. This problem is also known as the "binding problem." RESULTS Human volunteers viewed visual displays containing colored dots rotating around the center. The dots could be red or green and rotate clockwise or counterclo...

Determining the author of a text is difficult task. Here, we compare multiple Artificial Intelligence techniques for classifying literary texts written by authors taking into account limited number speech parts (prepositions, adverbs, and conjunctions). We also introduce new dataset composed in Romanian language on which have run algorithms. The compared methods are artificial neural networks, ...