[PLing] ZOOM LINK Invitation to Book Launch "Statistics in Corpus Linguistics Research" by Sean Wallis

[Mathilde Eveline Keizer]

Dear all,

Here is the zoom link for the book presentation by Sean Wallis on 7 
April, 15:00 (for more information, see below).

Join Zoom Meeting
https://univienna.zoom.us/j/69271514683?pwd=VVBjR1U4U2ZVeUtyZzZGTEZkWlBzdz09

Meeting ID: 692 7151 4683
Passcode: 380702

Looking foward to seeing many of you on Thursday,

Evelien Keizer & Gunther Kaltenböck


Am 18.03.2022 um 09:23 schrieb Mathilde Eveline Keizer:
> **Apologies for double posting* *
>
>
> Dear colleagues,
>
> You are cordially invited to a presentation by Sean Wallis (Survey of 
> English Usage, UCL), in which he will talk about his book Statistics 
> in Corpus Linguistics Research: a New Approach/ *(Routledge 2021).
>
> The presentation will be on *Thursday 7 April 2022, 15:00* and will 
> take place online. A link will be sent around a few days before the 
> event.
>
> Below you will find the abstract of the talk, as well as some 
> information about the book.
>
> Best wishes,
>
> Evelien Keizer (University of Vienna) & Gunther Kaltenböck (University 
> of Graz)
>
>
> *Book Launch: /Statistics in Corpus Linguistics Research/ (Routledge 
> 2021) - Sean Wallis, Survey of English Usage**
> ****
> **Abstract:*
>
> Why do people find 'statistics' difficult, and what can we do about 
> this? What are the best methods to use in linguistics, and are there 
> specific problems we must address when we apply statistical methods to 
> corpora?
>
> In his new book, Sean Wallis argues there are several reasons why we 
> find statistical reasoning counter-intuitive. Probably the most 
> fundamental is that we do not "see" sampling uncertainty, we have to 
> count many events, which is often an impossible task. But with a 
> computer we can calculate and visualise uncertainty on the same scale 
> as an observed factor, which is what /confidence intervals/ do. 
> Whereas traditional approaches to confidence intervals were 
> inconsistent with statistical testing and sometimes obtained 
> improbable events, modern methods do not suffer these defects, and may 
> be extended into a wide range of testing environments.
>
> Applying these methods to corpus linguistics requires us to address a 
> number of challenges and traditions. For example, conventionally, many 
> statistical approaches accepted linguistic variables with per 
> (million) word baselines. Yet these are clearly suboptimal, as most 
> phenomena can only occur in specific locations in a text. This is 
> fundamentally a linguistic analysis problem, which must be addressed 
> through good research design, well-considered queries and a careful 
> review of data.
>
> Other problems tackled in the book include questions of semasiological 
> analysis, learning how to engage in statistical argument to reduce 
> research workload and how to compensate for the fact that corpora are 
> random samples of texts, rather than random samples of independent 
> utterances, clauses or phrases.
>
> *From the jacket:*
>
> Traditional approaches to statistics focused on significance tests 
> have often been difficult for linguistics researchers to visualise. 
> /Statistics in Corpus Linguistics Research: A New Approach/ breaks 
> these significance tests down for researchers in corpus linguistics 
> and linguistic analysis, promoting a visual approach to understanding 
> the performance of tests with real data, and demonstrating how to 
> derive new intervals and tests.
>
> Accessibly written for those with little to no mathematical or 
> statistical background, this book explains the mathematical 
> fundamentals of simple significance tests by relating them to 
> confidence intervals. With sample datasets and easy- to- read visuals, 
> this book focuses on practical issues, such as how to:
> • pose research questions in terms of choice and constraint;
> • employ confidence intervals correctly (including in graph plots);
> • select optimal significance tests (and what results mean);
> • measure the size of the effect of one variable on another;
> • estimate the similarity of distribution patterns; and
> • evaluate whether the results of two experiments significantly differ.
>
> Appropriate for anyone from the student just beginning their career to 
> the seasoned researcher, this book is both a practical overview and 
> valuable resource.


-- 
Univ.-Prof. Dr. Evelien Keizer
Institut für Anglistik und Amerikanistik / Department of English
Universität Wien Campus d. Universität Wien
Spitalgasse 2-4/Hof 8.3
1090 Wien
Austria

Homepage:https://anglistik.univie.ac.at/staff/staff/keizer/
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