Complementing corpus analysis with web-based experimentation in research on World Englishes

2019 ◽  
Vol 40 (1) ◽  
pp. 24-52 ◽  
Author(s):  
Stephanie Horch

Abstract Usage-based research in linguistics has to a large extent relied on corpus data. However, a feature’s “failure to appear in even a very large corpus (such as the Web) is not evidence for ungrammaticality, nor is appearance evidence for grammaticality” (Schütze and Sprouse 2013: 29). It is therefore advisable to complement corpus-based analyses with experimental data, so as to (ideally) obtain converging evidence. This paper reviews reasons for combining corpus linguistic with psycholinguistic experimental methods, and demonstrates how research on varieties of English can profit from experimentation. For a study of conversion in Asian Englishes, the maze task (Forster, Guerrera, and Elliot 2009; Forster 2010) was implemented with a web-based, open-source software. The results of the experiment dovetail with a previous analysis of the Corpus of Global Web-based English (Davies 2013). These results should encourage researchers not to base findings exclusively on corpus evidence, but corroborate them by means of experimental data.

2003 ◽  
Vol 8 (2) ◽  
pp. 245-282 ◽  
Author(s):  
Stefanie Wulff

This paper is concerned with the question of which factors govern prenominal adjective order (AO) in English. In particular, the analysis aims to overcome shortfalls of previous analyses by, firstly, adopting a multifactorial approach integrating all variables postulated in the literature, thereby doing justice to the well-established fact that cognitive and psychological processes are multivariate and complex. Secondly, the phenomenon is investigated on the basis of a large corpus, rendering the results obtained more representative and valid of naturally occurring language than those of previous studies. To this end, corpus-linguistic operationalizations of phonological, syntactic, semantic and pragmatic determinants of AO are devised and entered into a Linear Discriminant Analysis, which determines the relative influence of all variables (semantic variables being most important) and yields a classification accuracy of 78%. Moreover, by means of the operationalizations developed in this analysis, the ordering of yet unanalyzed adjective strings can be predicted with about equal accuracy (73.5%).


2015 ◽  
Vol 4 (1) ◽  
pp. 1224-1228 ◽  
Author(s):  
Debasish Chakraborty ◽  
◽  
Debanjan Sarkar ◽  
Shubham Agarwal ◽  
Dibyendu Dutta ◽  
...  

1999 ◽  
Vol 14 (03) ◽  
pp. 223-230 ◽  
Author(s):  
O. V. SELYUGIN

A possibility to obtain restrictions of the magnitude of the elastic spin-flip hadron scattering amplitude from accurately measured experimental data on the differential cross-sections of elastic hadron–hadron scattering is shown. Appropriate estimations confirm the previous analysis of experimental data at [Formula: see text] GeV and a probable contribution of the hadron spin-flip amplitude.


Author(s):  
Timothy Gupton ◽  
Tania Leal Méndez

AbstractThe current article examines two experimental investigations of the syntaxdiscourse interface, which address theoretical questions in different ways: the first is an L1 investigation of Galician speakers in Gupton (2010) and the second is a dual investigation of L1 and L2 Spanish reported on in Leal Méndez & Slabakova (2011). These investigations gathered quantitative data via psycholinguistic tasks with accompanying audio utilizing the WebSurveyor platform. They involved counterbalanced designs and were followed by statistical analysis. While acknowledging that experimental data does not have primacy over intuitive data, the authors endorse the use of experimental methods of data elicitation (such as the ones already used in generative SLA research) in theoretical syntax in order to avoid experimenter bias and to get a more complete picture of native speaker intuition and competencies.


2014 ◽  
Vol 554 ◽  
pp. 696-700 ◽  
Author(s):  
Nur Farhana Mohamad Kasim ◽  
Sheikh Ahmad Zaki ◽  
Mohamed Sukri Mat Ali ◽  
Ahmad Faiz Mohammad ◽  
Azli Abd Razak

Wind-induced ventilation is widely acknowledged as one of the best approaches for inducing natural ventilation. Computational fluid dynamics (CFD) technique is gaining popularity among researchers as an alternative for experimental methods to investigate the behavior of wind-driven ventilation in building. In this present paper, Reynolds averaged Navier-Stokes equation (RANS) k-ε model approach is considered to simulate the airflow on a simplified cubic building with an opening on a single façade. Preliminary simulation using models from previous experiment indicates the reliability of OpenFOAM, the open source software that will be used in this study. The results obtained in this study will better define options for our future study which aims to explore how different buildings arrays modify the airflow inside and around a naturally ventilated building.


Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Hugo Mochão ◽  
Pedro Barahona ◽  
Rafael S Costa

Abstract The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured formats, while also integrating associated kinetic models related to the data. In addition, it also supplies tools to simplify the construction process of ODE (Ordinary Differential Equations)-based models of metabolic networks. In this release, we present an update of KiMoSys with new data and several new features, including (i) an improved web interface, (ii) a new multi-filter mechanism, (iii) introduction of data visualization tools, (iv) the addition of downloadable data in machine-readable formats, (v) an improved data submission tool, (vi) the integration of a kinetic model simulation environment and (vii) the introduction of a unique persistent identifier system. We believe that this new version will improve its role as a valuable resource for the systems biology community. Database URL:  www.kimosys.org


2021 ◽  
Author(s):  
Alexander Beer ◽  
Michael Lamb

Additional details on the experimental methods, experimental data, Figs S1–S3, and Tables S1–S3.<br>


2015 ◽  
Vol 36 (1) ◽  
pp. 29-33 ◽  
Author(s):  
Christian Mair
Keyword(s):  

Commentary to: Davies, Mark, and Robert Fuchs. 2015. "Expanding horizons in the study of World Englishes with the 1.9 billion word Global Web-based English Corpus (GloWbE)". English World-Wide 36:1–28 (This issue). DOI:10.1075/eww.36.1.01dav


2019 ◽  
Vol 24 (4) ◽  
pp. 445-489
Author(s):  
Susanne Wagner

Abstract Situated at the interface of several sub-disciplines (corpus linguistics, World Englishes, variationist sociolinguistics), this study investigates patterns of adjectival amplification (very good, so glad, pretty cool) in the Corpus of Global Web-Based English (GloWbE). It highlights regional distributions/preferences of amplifier-adjective 2-grams and the idiosyncratic status of certain bigrams according to their frequency status. Globally, clear regional preferences in amplification patterns as well as possible trends concerning change are identified. Regionally, L1 varieties contrast starkly with some regions (Africa, Indian subcontinent) but – maybe unexpectedly – not with others (Southeast Asia). The results offer insights into current trajectories of change concerning the investigated amplifiers in certain regions and 2-grams: North American varieties are leading a trend away from very towards so and possibly pretty in the future.


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