Concreteness in Business letters : a Corpus-based Analysis of British and Pakistani English

Linguistic features of business letters have been a research target of both linguists and business writers. In this study, the language of British and Pakistani Business letters was compared and contrasted in terms of concreteness and abstractness. A corpus of 100 business letters from Inner Circle and Outer Circle writers were collected for analysis. The findings of the study revealed that British writers use more specific and concrete nouns, definite determiners, numeral, possessive and demonstrative adjectives, cohesive and rhetorical devices than the Pakistani Writers in order to be become concrete and vivid in their communication. The present findings are rather corpus specific since the data include only two countries; however this study may lead to further cross circle research including Expanding Circle research of business letters in terms of concreteness and abstractness. The issue of concreteness in Cross-circle business English can also be studied from psychological, sociological and anthropological perspectives in future Research.

Different approaches for dealing with rare variants in family-based genetic studies: application of a Genetic Analysis Workshop 17 problem

Rare variants are becoming the new candidates in the search for genetic variants that predispose individuals to a phenotype of interest. Their low prevalence in a population requires the development of dedicated detection and analytical methods. A family-based approach could greatly enhance their detection and interpretation because rare variants are nearly family specific. In this report, we test several distinct approaches for analyzing the information provided by rare and common variants and how they can be effectively used to pinpoint putative candidate genes for follow-up studies. The analyses were performed on the mini-exome data set provided by Genetic Analysis Workshop 17. Eight approaches were tested, four using the trait’s heritability estimates and four using QTDT models. These methods had their sensitivity, specificity, and positive and negative predictive values compared in light of the simulation parameters. Our results highlight important limitations of current methods to deal with rare and common variants, all methods presented a reduced specificity and, consequently, prone to false positive associations. Methods analyzing common variants information showed an enhanced sensibility when compared to rare variants methods. Furthermore, our limited knowledge of the use of biological databases for gene annotations, possibly for use as covariates in regression models, imposes a barrier to further research.

Corpora in the Social Sciences- How corpus-based appraches can support qualitative interview analyses

[EN]Qualitative and quantitative research approaches are often considered as incompatible, and when they are brought together in a study, the analyses often stay within the realm of the same research field. The study at hand aims at combining the two methods from the perspectives of different disciplines and tries to determine to which degree a corpus-based analysis might support the traditional content-focused approach to qualitative data and render additional results.

Author stance in doctoral dissertations of native and non-native speakers of English: a corpus-based study on epistemic adverbs

[EN]Our study concentrates on the epistemic adverbs used in conveying author stance in academic English. The Contrastive Interlanguage Analysis (Granger, 1996) was run to three sets of corpora comprising doctoral dissertations written by native and non-native academic authors of English. Epistemic adverbs occurring in the dissertations were identified through a computer programme and their frequencies were separately computed for each corpus. Lastly, a log-likelihood test was administered to see whether there is a statistically significant difference across the groups in concern concerning the use of these adverbs.

Corpus-based teaching of pragmatics

[EN]This paper is a proposal for teaching pragmatics following a corpus-based approach. Corpora have had a high impact on how linguistics is looked at these days. However, teaching linguistics is still traditional in its scope and stays away from a growing tendency of incorporating authentic samples in the theoretical classroom, and so lecturers perpetuate the presentation of the same canonical examples students may find in their textbooks or in other introductory monographs. Our view is that using corpus linguistics, especially corpora freely available in the World Wide Web, will result in a more engaging and fresh look at the course of Pragmatics, while promoting early research in students. This way, they learn the concepts but most importantly how to later identify pragmatic phenomena in real text. Here, we raise our concern with the methodology, presenting clear examples of corpus-based pragmatic activities, and one clear result is the fact that students learn also how to be autonomous in their analysis o f data. In our proposal, we move from more controlled tasks to autonomy. This proposal focuses on students enrolled in the course Pragmática de la Lengua inglesa, currently part of the curriculum in Lenguas Modernas, Universidad de Las Palmas de Gran Canaria.

Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing

We present a new approach for corpus-based speech enhancement that significantly improves over a method published by Xiao and Nickel in 2010. Corpus-based enhancement systems do not merely filter an incoming noisy signal, but resynthesize its speech content via an inventory of pre-recorded clean signals. The goal of the procedure is to perceptually improve the sound of speech signals in background noise. The proposed new method modifies Xiao's method in four significant ways. Firstly, it employs a Gaussian mixture model (GMM) instead of a vector quantizer in the phoneme recognition front-end. Secondly, the state decoding of the recognition stage is supported with an uncertainty modeling technique. With the GMM and the uncertainty modeling it is possible to eliminate the need for noise dependent system training. Thirdly, the post-processing of the original method via sinusoidal modeling is replaced with a powerful cepstral smoothing operation. And lastly, due to the improvements of these modifications, it is possible to extend the operational bandwidth of the procedure from 4 kHz to 8 kHz. The performance of the proposed method was evaluated across different noise types and different signal-to-noise ratios. The new method was able to significantly outperform traditional methods, including the one by Xiao and Nickel, in terms of PESQ scores and other objective quality measures. Results of subjective CMOS tests over a smaller set of test samples support our claims.

A unifying approach for haplotype analysis of quantitative traits in family-based association studies: Testing and estimating gene-environment interactions with complex exposure variables

We propose robust and e±cient tests and estimators for gene-environment/gene-drug interactions in family-based association studies. The methodology is designed for studies in which haplotypes, quantitative pheno- types and complex exposure/treatment variables are analyzed. Using causal inference methodology, we derive family-based association tests and estimators for the genetic main effects and the interactions. The tests and estimators are robust against population admixture and strati¯cation without requiring adjustment for confounding variables. We illustrate the practical relevance of our approach by an application to a COPD study. The data analysis suggests a gene-environment interaction between a SNP in the Serpine gene and smok- ing status/pack years of smoking that reduces the FEV1 volume by about 0.02 liter per pack year of smoking. Simulation studies show that the pro- posed methodology is su±ciently powered for realistic sample sizes and that it provides valid tests and effect size estimators in the presence of admixture and stratification.

A workflow PROV-corpus based on taverna and wings

We describe a corpus of provenance traces that we have collected by executing 120 real world scientific workflows. The workflows are from two different workflow systems: Taverna [5] and Wings [3], and 12 different application domains (see Figure 1). Table 1 provides a summary of this PROV-corpus.

On the status of conversion in present-day American English: controversial issues and corpus-based study

This paper examines both theoretical and practical issues related to conversion. A quite detailed characterization of the 5329 instances identified in a 300.000-word corpus of American English written in the late 90s is provided. The examples are grouped according to the type of conversion involved. Frequency and the internal structure of words are also considered and compared with the results obtained by earlier scholars. In spite of the limitations that a corpus study imposes, the conclusions obtained seem to suggest that any item, independent of its morphological structure, may undergo conversion and this may happen in any register. Moreover, conversion seems to be an important source of new items in American English nowadays.