We describe a new procedure using event-related brain potentials to investigate parafoveal word processing during sentence reading. Sentences were presented word by word at fixation, flanked 2° bilaterally by letter strings. Flanker strings were pseudowords, except for the third word in each sentence, which was flanked by either two pseudowords or a pseudoword and a word, one on each side. Flan...

Emotional words in a bilingual's second language (L2) seem to have less emotional impact compared to emotional words in the first language (L1). The present study examined the neural mechanisms of emotional word processing in Chinese-English bilinguals' two languages by using both event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI). Behavioral results show a robust ...

Spellcheckers are computer software used for non-word or real word error detection. The Dinka text editors have been developed, however, no one has developed their spellcheckers. research entitled Prototyping NLP Non-Word Detection System Using Dictionary Lookup Approach was a solution to spellchecking. study objectives were: requirements gathering and analysis. keyboard customized accept the c...

The distinction between letter strings that form words and those that look and sound plausible but are not meaningful is a basic one. Decades of functional neuroimaging experiments have used this distinction to isolate the neural basis of lexical (word level) semantics, associated with areas such as the middle temporal, angular, and posterior cingulate gyri that overlap the default mode network...

The ability to extract word forms from continuous speech is a prerequisite for constructing a vocabulary and emerges in the first year of life. Electrophysiological (ERP) studies of speech segmentation by 9- to 12-month-old listeners in several languages have found a left-localized negativity linked to word onset as a marker of word detection. We report an ERP study showing significant evidence...

INTRODUCTION Major depressive disorder (MDD) is characterized by cognitive biases in attention, memory and language use. Language use biases often parallel depression symptoms, and contain over-representations of both negative emotive and death words as well as low levels of positive emotive words. This study further explores cognitive biases in depression by comparing the effect of current dep...

BACKGROUND We have previously identified an inverse relationship between cerebral serotonin 4 receptor (5-HT 4R) binding and nonaffective episodic memory in healthy individuals. Here, we investigate in a novel sample if the association is related to affective components of memory, by examining the association between cerebral 5-HT 4R binding and affective verbal memory recall. METHODS Twenty-...

This corpus-based study aimed at exploring the most frequently-used academic words in linguistics and compare the wordlist with the distribution of high frequency words in Coxhead’s Academic Word List (AWL) and West’s General Service List (GSL) to examine their coverage within the linguistics corpus. To this end, a corpus of 700 linguistics research articles (LRAC), consisting of approximately ...

In this paper, we investigate partial words, or finite sequences that may have some undefined positions called holes, of maximum subword complexity. The subword complexity function of a partial word w over a given alphabet of size k assigns to each positive integer n, the number pw(n) of distinct full words over the alphabet that are compatible with factors of length n of w. For positive intege...

In this work, we apply classifier fusion to tweet polarity identification problem. The task is to predict whether the emotion hidden in a tweet is positive, neutral, or negative. An asymmetric SIMPLS (ASIMPLS) based classifier, which was proved to be able to identify the minority class well in imbalanced classification problems, is implemented. Word embedding is also employed as a new feature. ...