This paper describes the Nara Institute of Science and Technology (NAIST) native language identification (NLI) system in the NLI 2013 Shared Task. We apply feature selection using a measure based on frequency for the closed track and try Capping and Sampling data methods for the open tracks. Our system ranked ninth in the closed track, third in open track 1 and fourth in open track 2.

Purpose – The purpose of this paper is to develop and promote a realistic understanding of young people and digital technology with a view to supporting information professionals in playing useful and meaningful roles in supporting current generations of young people. In particular the paper aims to offer a critical perspective on popular and political understandings of young people and digital...

We decribe the submissions made by the National Research Council Canada to the Native Language Identification (NLI) shared task. Our submissions rely on a Support Vector Machine classifier, various feature spaces using a variety of lexical, spelling, and syntactic features, and on a simple model combination strategy relying on a majority vote between classifiers. Somewhat surprisingly, a classi...

This paper offers new evidence on the sources of cross-country income differences. It exploits the idea that observing immigrant workers from different countries in the same labor market provides an opportunity to estimate their relative human capital endowments without having to adjust for other sources of country-specific productivity differences. Based on such estimates, a neoclassical growt...

As computational capabilities increasingly outpace disk speeds on leading supercomputers, scientists will, in turn, be increasingly unable to save their simulation data at its native resolution. One solution to this problem is to compress these data sets as they are generated and visualize the compressed results afterwards. We explore this approach, specifically subsampling velocity data and th...

This paper focuses on how we can design Ubiquitous Information Systems (UIS) for digital natives. Digital natives are those who have grown up in a digital world, where the use of information and communications technologies is pervasive and ubiquitous, and where these technologies are used in organisational and personal contexts. Digital natives, unlike digital immigrants, like new technologies ...

Advances in digital technologies and proliferation of the Internet as an ubiquitous platform for communication and information open up new opportunities for teaching and learning in the 21st century. In the past decade, K-12 schools have made considerable investments in the educational technology infrastructure, as evident by the decrease in students-per-computer ratios from 10.8 to 4 in a 10-y...

As digital technologies form an inextricable part of young people’s everyday lives, some commentators claim that the current generation of learners think and learn differently from their predecessors. This study investigated the validity of this claim by surveying 799 undergraduate and 81 postgraduate students at a large research-intensive university in New Zealand to document their use of digi...

The current study aimed at examining the relationship between English language teachers’ assessment literacy and their teaching experience. In other words, it intended to inspect the relationship between native and non-native English language teachers’ assessment literacy and their teaching experience. To achieve such goals, 100 native and non-native English teachers from ESL and EFL contexts w...

PURPOSE To investigate the effect of listener's native language (L1) and the types of noise on English vowel identification in noise. METHOD Identification of 12 English vowels was measured in quiet and in long-term speech-shaped noise and multi-talker babble (MTB) noise for English- (EN), Chinese- (CN) and Korean-native (KN) listeners at various signal-to-noise ratios (SNRs). RESULTS Compa...