The "gleam-glum effect" is a novel sound symbolic finding that words with the /i:/-phoneme (like "gleam") are perceived more positive emotionally than matched words with the /[open-mid back unrounded vowel]/-phoneme (like "glum"). We provide data that not only confirm the effect but also are consistent with an…

Semantic priming, the phenomenon that a target is recognized faster if it is preceded by a semantically related prime, is a well-established effect. However, the mechanisms producing semantic priming are subject of debate. Several theories assume that the underlying processes are controllable and tuned to prime utility. In contrast, purely…

Social media use has risen in higher education, as campus stakeholders frequently access these technologies for teaching, learning, research, communication, and information sharing. With these connected, digital technologies, our colleges and universities understand there are both opportunities and threats that social media affords. Higher…

In an effort to document demographic changes in the academic linguistics community, the Linguistic Society of America (LSA) has commissioned an annual report detailing information about job titles, students, degrees awarded, average salaries, and more. The report offers information about trends in student enrollment and employment by industry.…

In an effort to document demographic changes in the academic linguistics community, the Linguistic Society of America (LSA) has commissioned an annual report detailing information about job titles, students, degrees awarded, average salaries, and more. The report offers information about trends in student enrollment and employment by industry.…

The present study is based on the theoretical assumptions that frequency of characters and their structural components, as well as the frequency types of structural components, are important to enable learners of Chinese as a foreign language (CFL) to discover the underlying structure of Chinese characters. In the CFL context, since reliable…

Considering the popularity of the Internet, an automatic interactive feedback system for Elearning websites is becoming increasingly desirable. However, computers still have problems understanding natural languages, especially the Chinese language, firstly because the Chinese language has no space to segment lexical entries (its segmentation…