Children's remarkable ability to map linguistic labels to referents in the world is commonly called fast mapping. The current study examined children's (N = 216) and adults' (N = 54) retention of fast-mapped words over time (immediately, after a 1-week delay, and after a 1-month delay). The fast mapping literature often characterizes children's retention of words as consistently high across tim...

background : composite resin restorations may have a short lifespan due to the degradation of resin–dentin interface. ethanol wet bonding technique may extend the longevity of resin–dentin bond. the purpose of this one year randomized clinical trial was to compare clinical performance of two adhesives with ethanol wet bonding technique. materials and methods: this randomized clinical trial was ...

Translation problems may arise because of cultural differences in movie subtitles. Thus, subtitling strategies have become important for translating social and information. This study aims to identify the words using Newmarks’s (1988) theory investigate employed by translators Pedersen’s (2011) theory. The data used this research are Indonesian subtitles English Bumi Manusia. Moreover, research...

The semantic priming effect is shown to be modulated by the instruction to maintain the prime word while conducting a lexical decision to the target. Specifically, the priming effect is absent in situations of prime-retention. An extended version of Dagenbach and Carr’s (1994) Center-Surround hypothesis is proposed, in which the prime-retention effect, the absence of priming under prime-retenti...

We present a novel transfer learning approach to cross-camera action recognition. Inspired by canonical correlation analysis (CCA), we first extract the spatio-temporal visual words from videos captured at different views, and derive a correlation subspace as a joint representation for different bag-of-words models at different views. Different from prior CCA-based approaches which simply train...

This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better generalization power than bag-of-words. An...