On the (non)utility of Juilland’s D to measure lexical dispersion in large corpora

2016 ◽  
Vol 21 (4) ◽  
pp. 439-464 ◽  
Author(s):  
Douglas Biber ◽  
Randi Reppen ◽  
Erin Schnur ◽  
Romy Ghanem
Keyword(s):  
Target Word ◽  
Uniform Distribution ◽  
Corpus Linguistics ◽  
Quantitative Methods ◽  
Effective Range ◽  
Alternative Measure ◽  
Effective Measure ◽  
Series Of Experiments ◽  
Research Questions ◽  
Large Corpus

This paper explores the effectiveness of Juilland’s D as a measure of vocabulary dispersion in large corpora. Through a series of experiments using the BNC, we explored the influence of three variables: the number of corpus-parts used for the computation of D, the frequency of the target word, and the distributions of those words. The experiments demonstrate that the effective range for D is greatly reduced when computations are based on a large number of corpus-parts: even words with highly skewed distributions have D values indicating a relatively uniform distribution. We also briefly explore an alternative measure, Gries’ DP (Gries 2008), showing that it is a more reliable and effective measure of dispersion in a large corpus divided into many parts. In conclusion, we discuss the implications of these findings for quantitative methods applied to the creation of vocabulary lists as well as research questions in other areas of corpus linguistics.

‘Distant Reading’ in French Music Criticism

2021 ◽  
pp. 1-25
Author(s):  
Estelle Joubert
Keyword(s):  
Text Analysis ◽  
Quantitative Methods ◽  
Analysis Tool ◽  
Music Criticism ◽  
Distant Reading ◽  
French Music ◽  
Gabriel Faure ◽  
Series Of Experiments ◽  
Text Searching ◽  
Large Corpus

This article offers a series of experiments exploring the potential for ‘distant reading’ in French music criticism. ‘Distant reading’, a term first coined by literary theorist Franco Moretti, refers to quantitative approaches that allow for new insights into a large corpus of texts by aggregating data. While the main corpus employed here is the Revue et gazette musicale de Paris (1831–1877), I also use secondary corpora of reviews of Félicien David's Herculanum in 1859, Berlioz's reviews of Gluck and Beethoven in the Journal des débats and reviews that mention Gabriel Fauré in the Library of Congress’ Chronicling America database. My experiments employ a text analysis tool named Voyant, built by Geoffrey Rockwell and Stéfan Sinclair, thereby also offering a basic introduction to the range of visualizations employed in distant reading. My experiments focus on areas in which quantitative methods are particularly well suited to generating new knowledge: corpus-wide visualizations and queries, moving beyond traditional text searching, investigations of music critics’ authorial styles and detecting sentiment in reviews, and finally, to geographies of music criticism.

Quantitative Historical Linguistics

2017 ◽  
Author(s):  
Gard B. Jenset ◽  
Barbara McGillivray
Keyword(s):  
Corpus Linguistics ◽  
Quantitative Methods ◽  
Historical Linguistics ◽  
Comparative Method ◽  
Research Process ◽  
Reproducible Research ◽  
Corpus Annotation ◽  
Language Resources ◽  
Research Questions ◽  
Corpus Data

An innovative guide to quantitative, corpus-based research in historical and diachronic linguistics, this book provides an original and thoroughly worked-out methodological framework, which encompasses the entire research process. The authors argue that, although historical linguistics has been successful in using the comparative method, the field lags behind other branches of linguistics with respect to adopting quantitative methods. In a theoretically agnostic way, the book provides a framework for quantitatively assessing models and hypotheses in historical linguistics, based on corpus data. Using case studies, the authors illustrate how research questions in historical linguistics can be answered within a framework of quantitative corpus linguistics. With an eye for the needs of researchers, the book explains and exemplifies the benefits of working with quantitative methods, corpus data, corpus annotation, and the benefits of open and reproducible research. Historical corpora, corpus annotation, and historical language resources are discussed in depth, with the aim of enabling researchers to identify appropriate existing resources, or creating their own. The view of quantitative corpus linguistics advocated here offers a unified account of how they fit into the bigger research picture of historical linguistics research.

Nonconscious Activation of Achievement Goals

2009 ◽  
Vol 68 (4) ◽  
pp. 193-200 ◽  
Author(s):  
Stefan Engeser
Keyword(s):  
Achievement Goals ◽  
Priming Effect ◽  
Achievement Goal ◽  
Word Class ◽  
Achievement Motive ◽  
Goal Priming ◽  
Series Of Experiments ◽  
Research Questions

In a series of experiments, Bargh, Gollwitzer, Lee-Chai, Barndollar, and Trötschel (2001) documented that achievement goals can be activated outside of awareness and can then operate nonconsciously in order to guide self-regulated behavior effectively. In three experiments (N = 69, N = 71, N = 56), two potential moderators of the achievement goal priming effect were explored. All three experiments showed small but consistent effects of the nonconscious activation of the achievement goal, though word class did not moderate the priming effect. There was no support for the hypothesis that the explicit achievement motive moderates the priming effect. Implications are addressed in the light of other recent studies in this domain and further research questions are outlined.

scholarly journals CORPUS-BASED METHOD IN TEACHING VOCABULARY

2021 ◽  
pp. 128-137
Author(s):  
LILIT MOVSESYAN
Keyword(s):  
Corpus Linguistics ◽  
Methodological Approach ◽  
Vocabulary Development ◽  
Language Variation ◽  
Research Questions ◽  
Qualitative Analyses

Corpus linguistics is one of the fastest-growing methodologies in contemporary linguistics. It utilizes a large and principled collection of natural texts, known as a corpus, as the basis for analysis. At the same time, corpus linguistics is more than a methodological approach, because it has enabled researchers to ask fundamentally different kinds of research questions, sometimes resulting in radically different perspectives on language variation and use from those taken in previous research. And to make good use of corpus resources one needs a modest orientation to the routines involved in retrieving information from the corpus, and most importantly training and experience in how to evaluate that information. Hence, this paper presents corpus techniques in the field of teaching addressing the possible areas of its usage in vocabulary development through some activities requiring quantitative and qualitative analyses.

The Evolving Landscape of Research Methods in Library and Information Science

2020 ◽  
pp. 1-17
Author(s):  
Judith Mavodza
Keyword(s):  
Content Analysis ◽  
Research Methods ◽  
Quantitative Methods ◽  
Information Science ◽  
Research Strategy ◽  
Research Articles ◽  
Library And Information Science ◽  
Research Strategies ◽  
Qualitative Approaches ◽  
Research Questions

The library and information science (LIS) profession is influenced by multidisciplinary research strategies and techniques (research methods) that in themselves are also evolving. They represent established ways of approaching research questions (e.g., qualitative vs. quantitative methods). This chapter reviews the methods of research as expressed in literature, demonstrating how, where, and if they are inter-connected. Chu concludes that popularly used approaches include the theoretical approach, experiment, content analysis, bibliometrics, questionnaire, and interview. It appears that most empirical research articles in Chu's analysis employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methods and methodologies have been increasing. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research.

Recent developments in corpus linguistics and corpus-based research / Department of Linguistics and Modern Language Studies at the Hong Kong Institute of Education

2015 ◽  
Vol 48 (1) ◽  
pp. 156-160 ◽  
Author(s):  
Qin Xie
Keyword(s):  
Hong Kong ◽  
Empirical Research ◽  
Corpus Linguistics ◽  
Language Teachers ◽  
Specific Research ◽  
Modern Language ◽  
Language Studies ◽  
Recent Developments ◽  
Research Questions ◽  
Geographical Locations

Corpus linguistics has transformed the landscape of empirical research on languages in recent decades. The proliferation of corpus technology has enabled researchers worldwide to conduct research in their own geographical locations with few hindrances. It has become increasingly commonplace for researchers to compile their own corpora for specific research questions or to conduct research on the basis of corpora constructed by other researchers. Moreover, corpus linguistics has become accessible to language teachers, providing ideas, instructions and new opportunities to apply corpus techniques, corpus-based materials and activities in their classrooms (e.g., Bennett 2010; Reppen 2010; Scheffler 2011).

scholarly journals THE IMPACT OF TRAINING AND INNOVATION ON ORGANIZATIONAL PERFORMANCE IN THE HOSPITALITY INDUSTRY IN MALAYSIA: JOB SATISFACTION AS MEDIATOR

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Kumaran Kanapathipillaii
Keyword(s):  
Job Satisfaction ◽  
Organizational Performance ◽  
Hospitality Industry ◽  
Quantitative Methods ◽  
Strong Relationship ◽  
Cluster Sampling ◽  
Organisational Performance ◽  
Research Questions ◽  
The Impact ◽  
The Relationship

The present research explores the impact of training and innovation on organisational performance. Additionally, this research scrutinises how job satisfaction partially mediates the impact of training and innovation on organisational performance. Therefore, in order to achieve the objective of this research, the survey procedure using single-stage cluster sampling method is used to develop an in-depth profile, which is gathered from 653 out of 800 formal standardised questionnaires sent to employees who are in the managerial or supervisory level and above at 400 hotels in West Malaysia. For this research, only two questionnaires were distributed to the managers of each hotel. This research employed quantitative methods to produce empirical results and shreds of evidence that fulfil the research questions. The literature scrutinised training, innovation, job satisfaction, and organisational performance to fill the gap and to uncover the significance of training programs and innovation on organisational performance with job satisfaction as the mediator. The analysis shows that training and innovation are statistically significant and has a strong relationship with job satisfaction and organisational performance. Conclusively, the hypothesis depicted that job satisfaction mediates the relationship between training and innovation on organisational performance in the hospitality industry. Thus, the findings of this study could aid as an example to other hoteliers in Malaysia to not presume the impact of training and innovativeness on organisational performance. By embarking on training and being innovative, hotels could rise against all odds, remain productive, and maintain competitiveness. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0781/a.php" alt="Hit counter" /></p>

scholarly journals Participatory budgeting: creator or creation of a better place? Evidence from rural Poland

2020 ◽  
Vol 48 (48) ◽  
pp. 65-81 ◽  
Author(s):  
Katarzyna Leśniewska-Napierała ◽  
Tomasz Napierała
Keyword(s):  
Information Society ◽  
Quantitative Methods ◽  
Local Level ◽  
Principal Component ◽  
Participatory Budgeting ◽  
The Real ◽  
Spatial Justice ◽  
Development Processes ◽  
Development Goals ◽  
Research Questions

AbstractThe main purpose of the research is to address the real, operational context of participatory budgeting. It is argued that this method of budgeting might be a useful tool for developing various ideas at a local level, including social/spatial justice, civil society, human capital, information society, or sustainable development. However, the implementation of participatory budgeting might, conversely, result from development processes. A combination of quantitative methods (principal component analysis and regression analysis) was applied to define the real motives for local authorities to employ participatory budgeting. To address the research questions mentioned in the paper, all rural communes employing participatory budgeting in Poland in 2017 were investigated. It was confirmed that participatory budgeting is an effect of development processes rather than a tool for achieving development goals. Interestingly, social/spatial injustice might significantly stimulate inhabitants’ engagement in participatory budgeting. On the other hand, the development of information society supports processes related to social involvement, including participatory budgeting.

scholarly journals Overcoming the Challenges to Enhancing Experimental Plant Biology With Computational Modeling

2021 ◽  
Vol 12 ◽  
Author(s):  
Renee Dale ◽  
Scott Oswald ◽  
Amogh Jalihal ◽  
Mary-Francis LaPorte ◽  
Daniel M. Fletcher ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Machine Learning ◽  
Computational Modeling ◽  
Quantitative Methods ◽  
Plant Biology ◽  
Experimental Plant ◽  
Modeling Methods ◽  
Modeling Techniques ◽  
Research Questions ◽  
Biology Research

The study of complex biological systems necessitates computational modeling approaches that are currently underutilized in plant biology. Many plant biologists have trouble identifying or adopting modeling methods to their research, particularly mechanistic mathematical modeling. Here we address challenges that limit the use of computational modeling methods, particularly mechanistic mathematical modeling. We divide computational modeling techniques into either pattern models (e.g., bioinformatics, machine learning, or morphology) or mechanistic mathematical models (e.g., biochemical reactions, biophysics, or population models), which both contribute to plant biology research at different scales to answer different research questions. We present arguments and recommendations for the increased adoption of modeling by plant biologists interested in incorporating more modeling into their research programs. As some researchers find math and quantitative methods to be an obstacle to modeling, we provide suggestions for easy-to-use tools for non-specialists and for collaboration with specialists. This may especially be the case for mechanistic mathematical modeling, and we spend some extra time discussing this. Through a more thorough appreciation and awareness of the power of different kinds of modeling in plant biology, we hope to facilitate interdisciplinary, transformative research.

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