33.1599, Calls: Gen Ling, Historical Ling, Lang Acquisition, Phonetics, Psycholing/Germany

[The LINGUIST List]

LINGUIST List: Vol-33-1599. Sun May 08 2022. ISSN: 1069 - 4875.

Subject: 33.1599, Calls: Gen Ling, Historical Ling, Lang Acquisition, Phonetics, Psycholing/Germany

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Date: Sun, 08 May 2022 19:30:56
From: Maik Thalmann [motilida.goe at gmail.com]
Subject: Modelling Time in Linguistic Data

 
Full Title: Modelling Time in Linguistic Data 
Short Title: MoTiLiDa 

Date: 10-Nov-2022 - 11-Dec-2022
Location: Göttingen, Germany 
Contact Person: Maik Thalmann
Meeting Email: motilida.goe at gmail.com
Web Site: https://www.uni-goettingen.de/en/motilida/658689.html 

Linguistic Field(s): General Linguistics; Historical Linguistics; Language Acquisition; Phonetics; Psycholinguistics 

Call Deadline: 30-May-2022 

Meeting Description:

We are pleased to announce the workshop on Modelling Time in Linguistic Data
“MoTiLiDa”, which will take place at Göttingen University, Germany on November
10-11, 2022.

The purpose of this workshop is to discuss about ways of modelling time in
different types of linguistic data, such as eye-gaze proportions in
psycholinguistic studies, measurements of fundamental frequency in prosodic
research, and frequency distributions in historical corpora or language
acquisition data. Various approaches have been used to model time, e.g.:
- examining the interaction effects of the factors at issue with the time
variable (Barr 2008)
- Growth Curve analyses to capture non-linear effects of time (Mirman 2014),
- Generalized Additive models (Baayen and Linke, in press, Baayen et al. 2017,
Wieling 2018)
- functional Data Analysis (Ramsay and Silverman 2005, Gubian et al. 2014)

It is clear that different analyses capture different aspects of the data (see
also comparisons in Winter and Wieling 2016). In this workshop, we aim to
discuss the relevance of these methods for different types of data as well as
for theories about the data:
- Are certain approaches of modelling time more/less appropriate for
particular types of phenomena? Do such these differences relate to the type of
data (frequencies vs. interval-scale data) and/or other aspects, such as
differences in the granularity of time measurements?
- How can the inferences of different time models be integrated to predictive
theories? For instance, what is the contribution of precise models of time
curves to our understanding of language change or what is the correspondence
of non-linear models of f0 contours to the prosodic entities that are
postulated in phonological theories?

By bringing together experts from various subdisciplines of linguistics, we
hope to alleviate some of these troubles and identify a common core of
analytical approaches that is applicable to the heterogeneous settings from
which time series data originates. For one, we would like to compare different
analyses of time series data and discuss their advantages and shortcomings.
Secondly, we want to offer analysts the opportunity to discuss their
statistical approach and receive feedback from an informed audience.

In pursuit of this goal, the workshop will offer a combination of theoretical
talks and practical sessions on current approaches to time modelling across
various time scales and data sources. In addition, there will be discussion
panels in the evenings where participants have to opportunity to receive
feedback on study protocols. 

Invited speakers:
- Amalia Arvaniti (Radboud University) & Stella Gryllia (Leiden University) 
- Dale Barr (University of Glasgow) 
- Michele Gubian (University of Munich)
- Mikhail Ordin (Basque Center on Cognition, Brain and Language)

Important Dates:
- Abstract submission by: May 30, 2022
- Notification of acceptance: June 15, 2022
- Workshop: November 10-11, 2022

Venue
The workshop will take place in the seminar room of the Göttingen State and
University Library (https://www.sub.uni-goettingen.de/en/news/). See
directions
(https://www.sub.uni-goettingen.de/en/locations-facilities/locations-and-openi
ng-hours/central-library/#c2836).

Organized by:
- Leona Polyanskaya
- Stavros Skopeteas
- Maik Thalmann
- Thomas Weskott


Call for Papers:

We invite abstracts for talks and presentations dealing with data analysis
discussion across any temporal domain but note that our express goal is to
better understand the woes and virtues of specific approaches to time series
data. Contributions that directly contribute to this goal via comparative
analyses or by highlighting new approaches will thus be given preference over
those with a different focus. 

The poster session will feature a 5-minute presentation and a discussion
period for each accepted poster.

Please send your anonymous abstracts to motilida.goe at gmail.com, indicating
whether a presentation or poster (or both) is desired. Abstracts should not
exceed one of page text (1-inch margins, 12-pt font) and one additional page
for examples, figures, references etc.




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LINGUIST List: Vol-33-1599	
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