Past theoretical studies on word learning have offered simple sampling models as a means of explaining real word learning, with a particular goal of addressing the speed of word learning: people learn tens of thousands of words within their first 18 years. The present study revisits past theoretical claims by considering a more realistic word frequency distribution in which a large number of wo...

ESP students are usually suggested to master general and academic word lists such as Wests’ (1953) General Service List (GSL) and Coxhead’s (2000) Academic Word List (AWL) to be able to read their academic texts. However, it seems that university students may not need to learn all the words in the two lists as some words in the lists are of less frequency in academic texts. Moreover, there are ...

Image annotation provides several keywords automatically for a given image based on various tags to describe its contents which is useful in Image retrieval. Various researchers are working on text based and content based image annotations [7,9]. It is seen, in traditional Image annotation approaches, annotation words are treated equally without considering the importance of each word in real w...

In this paper, we work on semantic correlation between Chinese words based on Wikipedia documents. A corpus with about 50,000 structured documents is generated from Wikipedia pages. Then considering of hyper-links, text overlaps and word frequency, about 300,000 word pairs with semantic correlations are explored from these documents. We roughly measure the degree of semantic correlations and fi...

Previous research has shown that word frequency affects judgments of learning (JOLs). Specifically, people give higher JOLs for high-frequency (HF) words than for low-frequency (LF) words. However, the exact mechanism underlying this effect is largely unknown. The present study replicated and extended previous work by exploring the contributions of processing fluency and beliefs to the word fre...