We present a Bayesian model selection analysis of WMAP3 data using our code CosmoNest. We focus on the density perturbation spectral index nS and the tensor-to-scalar ratio r, which define the plane of slow-roll inflationary models. We find that while the Bayesian evidence supports the conclusion that nS 6= 1, the data are not yet powerful enough to do so at a strong or decisive level. If tenso...

Text classification remains an important practical application of both modern machine learning (ML) and natural language processing (NLP) techniques. The influence of these disparate areas of research has contributed much to the success of current state of the art classification methods. This essay provides an overview of the field of text classification, and investigates in particular the topi...

In this lecture we discuss the process of instruction selection, which typcially turns some form of intermediate code into a pseudo-assembly language in which we assume to have infinitely many registers called “temps”. We next apply register allocation to the result to assign machine registers and stack slots to the temps before emitting the actual assembly code. Additional material regarding i...

This review surveys research on second language vocabulary teaching and learning since1999. It first considers the distinction between incidental and intentional vocabulary learning.Although learners certainly acquire word knowledge incidentally while engaged in variouslanguage learning activities, more direct and systematic study of vocabulary is also required.There is a discussion of how word...

The "hard problem" in bilingual lexical access arises when translation-equivalent lexical representations are activated to roughly equal levels and, thus, compete equally for lexical selection. The language suppression hypothesis (D. W. Green, 1998) solves this hard problem through the suppression of lexical representations in the nontarget language. Following from this proposal is the predicti...

This paper describes a language for expressing criteria for chemical identification with comprehensive two-dimensional gas chromatography paired with mass spectrometry (GC x GC-MS) and presents computer-based tools implementing the language. The Computer Language for Indentifying Chemicals (CLIC) allows expressions that describe rules (or constraints) for selecting chemical peaks or data points...

Phrase based language models have been recognized to have an advantage over word based language models since they allow us to capture long span ning dependencies Class based language models have been used to improve model generalization and overcome problems with data sparseness In this pa per we present a novel approach for combining the phrase acquisition with class construction process to au...

This paper describes the lemma selection process of a Danish computational lexicon, the STO project, for domain specific language and focuses on some specific problems encountered during the lemma selection process. After a short introduction to the STO project and an explanation of why the lemmas are selected from a corpus and not chosen from existing dictionaries, the lemma selection process ...