28.4966, Calls: English, Discipline of Linguistics, Text/Corpus Linguistics/Finland

The LINGUIST List linguist at listserv.linguistlist.org
Tue Nov 28 15:13:32 UTC 2017


LINGUIST List: Vol-28-4966. Tue Nov 28 2017. ISSN: 1069 - 4875.

Subject: 28.4966, Calls: English, Discipline of Linguistics, Text/Corpus Linguistics/Finland

Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Helen Aristar-Dry, Robert Coté,
                                   Michael Czerniakowski)
Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           http://funddrive.linguistlist.org/donate/

Editor for this issue: Kenneth Steimel <ken at linguistlist.org>
================================================================


Date: Tue, 28 Nov 2017 10:12:53
From: Paula Rautionaho [paula.rautionaho at uta.fi]
Subject: Data Visualization in Corpus Linguistics

 
Full Title: Data Visualization in Corpus Linguistics 

Date: 30-May-2018 - 30-May-2018
Location: Tampere, Finland 
Contact Person: Ole Schützler
Meeting Email: ole.schuetzler at uni-bamberg.de
Web Site: http://www.uta.fi/ltl/en/ICAME2018/programme/workshops.html 

Linguistic Field(s): Discipline of Linguistics; Text/Corpus Linguistics 

Subject Language(s): English (eng)

Call Deadline: 10-Dec-2017 

Meeting Description:

ICAME 39 Pre-conference Workshop
Data visualization in Corpus Linguistics: Critical reflections and future
directions
 
Convenors: Ole Schützler & Lukas Sönning (University of Bamberg)

Data visualization is a vital element of quantitative research (Cleveland
1993, 1994). In the domain of statistics, we can distinguish graphs for data
analysis and data presentation (Fienberg 1979). While the former communicate
between researcher and data, the latter aim to convey findings to an audience.
As graphical representations tap into the human visual system - an enormously
powerful pattern-finding device - they can reveal structure in the data in a
compelling and accessible way. With corpus-based research typically involving
the quantitative analysis of a complex mixture of conditions, there is little
room for doubting the relevance of data visualization for our field. This
workshop addresses the role of graphical techniques for corpus data analysis
and presentation by critically reflecting the state-of-the-art and examining
avenues for future practice. To inspect current usage patterns, we conducted a
small-scale survey of n = 131 corpus-based articles published in linguistic
journals between 2015 and 2017. Overall, two-thirds of papers made use of
graphs for data presentation (89% featured tables). As for the graph types
employed, there was a predominance of classical variants (bar charts: 50% of
articles; line plots: 34%). While most display types belong to the common core
of statistical graphics, use is also made of less familiar forms. Among these
are mosaic charts and various tools from the domain of statistical/machine
learning (e.g. conditional inference trees, dendrograms, phylogenetic trees).
This snapshot suggests that corpus linguistics strongly relies on
well-established graph schemas (Pinker 1990), with novel techniques (as yet)
playing a minor role.

It is the aim of this workshop to stimulate discussion about best practices in
corpus data visualization, including analysis and presentation graphics. We
argue that it is genuinely worth considering whether and how issues raised in
the literature on statistical graphics (e.g. Tukey 1977, 1993; Cleveland 1993,
1994; Tufte 2001; Kosslyn 2006; Ware 2013; Unwin 2015) equally apply to our
field and where discipline-specific adaptations are needed. Concentrating on
the goals of corpus linguistics, this workshop welcomes contributions that

- Discuss principles of visual perception, reflecting on strengths and
weaknesses of graphical forms
- Offer comparative evaluations of display types
- Explore means of increasing the informativity and processability of displays
- Relate to the audience by considering issues of graphicacy/display
familiarity, suggesting implications for the methodological training of
(corpus) linguists
- Discuss the application of graphical means of statistical inference to
corpus data
- Reflect on principles and tools specific to particular
subject-matter/methodological applications
- Address the sensitivity of graphs to aspects of data scaling
- Offer avenues towards best practices in the visualization of corpus data 

References: See conference website
(http://www.uta.fi/ltl/en/ICAME2018/programme/workshops/Workshop2.pdf)


Call for Papers:

Abstracts of approximately 400 words (excluding references) should be sent to
both ole.schuetzler at uni-bamberg.de and lukas.soenning at uni-bamberg.de. The
deadline for abstract submission is 10 December 2017. Notifications of
acceptance will be sent out before Christmas.

References: See conference website
(http://www.uta.fi/ltl/en/ICAME2018/programme/workshops/Workshop2.pdf)




------------------------------------------------------------------------------

*****************    LINGUIST List Support    *****************
Please support the LL editors and operation with a donation at:
            http://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-28-4966	
----------------------------------------------------------






More information about the LINGUIST mailing list