Poor writing is common in children with Attention Deficit Hyperactivity Disorder (ADHD). However, the writing performance of children with ADHD has been rarely formally explored in Taiwan, so the purpose of this study was to investigate writing features of children with ADHD in Taiwan. There were 25 children with ADHD and 25 normal children involved in a standardization writing assessment - Wri...

Within the field of computational linguistics, recent research has made successful advances in integrating word space models with n-gram models. This is of particular interest when a model that encapsulates both semantic and syntactic information is desirable. A potential application for this can be found in the field of psycholinguistics, where the neural response N400 has been found to occur ...

The present study investigated simultaneous processing of language and music using visually presented sentences and auditorily presented chord sequences. Music-syntactically regular and irregular chord functions were presented synchronously with syntactically correct or incorrect words, or with words that had either a high or a low semantic cloze probability. Music-syntactically irregular chord...

Software readability and comprehension are important factors in software maintenance. There is a large body of research on software measurement, but the actual factors that make software easier to read or easier to comprehend are not well understood. In the present study, we investigate the role of method chains and code comments in software readability and comprehension. Our analysis comprises...

Event prediction aims to predict the most possible following event given a chain of closely related context events. Previous methods based on pairs or entire may ignore much structural and semantic information. Current datasets for prediction, naturally, can be used supervised learning. chains are either from document-level procedural action flow, news sequences under same column. This paper le...

The assessment of listening abilities is one of the least understood, least developed and, yet, one of the most important areas of language testing and assessment. It is particularly important because of its potential wash-back effects on classroom practices. Given the fact that listening tests play a great role in assessing the language proficiency of students, they are expected to enjoy a hig...

Abstract In order to have a better understanding of the nature reading behavior, it is quite essential scrutinize underlying assumptions two competing theories: componential approach and unitary hypothesis see how this reflected on testing skills. As result, current study was aimed at broadening existing knowledge horizon by trying identify if there relationship in overall scores learners diffe...

We propose a novel neural attention architecture to tackle machine comprehension tasks, such as answering Cloze-style queries with respect to a document. Unlike previous models, we do not collapse the query into a single vector, instead we deploy an iterative alternating attention mechanism that allows a fine-grained exploration of both the query and the document. Our model outperforms state-of...