Facilitating academic words learning: a data-driven approach using a collocation consultation system built from open access research papers

It is essential and beneficial for ESP students to master collocations of a set of core academic words. Corpus analysis tools (e.g. concordancers) have been widely used in facilitating collocation learning, and promising results have been demonstrated in the literature. This paper presents a learner friendly collocation consultation system built from 50,000 open access research papers made available by CORE (https://core.ac.uk/). The research papers are grouped into four disciplines: Arts and Humanities, Physical Sciences, Life Sciences and Social Sciences. From these articles, useful syntactic-based word combinations (e.g., verb+noun, noun+noun, adjective+noun) are extracted, organized by syntactic patterns, sorted by frequency, and linked to their context sentences. Learners can search collocations and look up the usage of an academic word in any of these four disciplines by simply entering the word or selecting it from one of pre-compiled academic word lists. The paper will also show how the system was used in an initial study carried out with 15 international students studying computer science at University of Waikato, New Zealand

On the sustainability of currency boards : evidence from Argentina and Hong Kong : [Version: September 2008]

This paper examines the sustainability of the currency board arrangements in Argentina and Hong Kong. We employ a Markov switching model with two regimes to infer the exchange rate pressure due to economic fundamentals and market expectations. The empirical results suggest that economic fundamentals and expectations are key determinants of a currency board’s sustainability. We also show that the government’s credibility played a more important role in Argentina than in Hong Kong. The trade surplus, real exchange rate and inflation rate were more important drivers of the sustainability of the Hong Kong currency board

The Falling Factorial Basis and Its Statistical Applications

We study a novel spline-like basis, which we name the "falling factorial basis", bearing many similarities to the classic truncated power basis. The advantage of the falling factorial basis is that it enables rapid, linear-time computations in basis matrix multiplication and basis matrix inversion. The falling factorial functions are not actually splines, but are close enough to splines that they provably retain some of the favorable properties of the latter functions. We examine their application in two problems: trend filtering over arbitrary input points, and a higher-order variant of the two-sample Kolmogorov-Smirnov test.Comment: Full version for the ICML paper with the same titl