24.4472, Calls: Morphology, Computational Linguistics, Psycholinguistics/Hungary

Sat Nov 9 21:46:11 UTC 2013

LINGUIST List: Vol-24-4472. Sat Nov 09 2013. ISSN: 1069 - 4875.

Subject: 24.4472, Calls: Morphology, Computational Linguistics, Psycholinguistics/Hungary

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Rajiv Rao, U of Wisconsin Madison
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Mateja Schuck, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
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Date: Sat, 09 Nov 2013 16:45:33
From: Sabine Arndt-Lappe [sabine.arndt-lappe at uni-duesseldorf.de]
Subject: Modelling Compound Properties - New Approaches and New Explanations

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Full Title: Modelling Compound Properties - New Approaches and New Explanations 

Date: 29-May-2014 - 01-Jun-2014
Location: Budapest, Hungary 
Contact Person: Sabine Arndt-Lappe, Melanie Bell, Martin Schäfer, Barbara Schlücker
Meeting Email: Sabine.Arndt-Lappe at uni-duesseldorf.de, melanie.bell at anglia.ac.uk, barbara.schluecker at fu-berlin.de, post at martinschaefer.info
Web Site: http://www.nytud.hu/imm16/index.html 

Linguistic Field(s): Computational Linguistics; Morphology; Psycholinguistics 

Call Deadline: 17-Nov-2013 

Meeting Description:

This is a workshop that will be held as part of the 16th International
Morphology Meeting in Budapest, Hungary. All relevant organisational details
can be found on the website of the main conference
(www.nytud.hu/imm16/index.html).

Final Call for Papers:

In linguistic morphology, the properties of compounds have always attracted a great deal of interest. The term 'properties' is taken here to have wide scope, including all aspects of a compound's form and meaning as well as factors that influence compound processing, production or acquisition.

Recent empirical work on compound properties has become an increasingly interdisciplinary effort, employing a variety of approaches and making use of large scale data sources, a number of experimental methods and a diversity of computational modelling techniques. Crucially, such approaches have not only been used as tools to provide adequate formal or mathematical representations of the data, but have also led to the development of new explanations of compound properties. Such explanatory factors include, for example, analogical reasoning, syntagmatic and paradigmatic informativity, patterns of distribution across texts, and competition amongst possible semantic relations during compound processing.

The aim of the workshop is to take stock of the variety of methods currently in use, to promote discussion of the explanatory aspects of the models produced and to evaluate their compatibility with one another. In particular, questions such as the following will be addressed:

- To what extent is the proposed model compatible with theoretical accounts of the property or properties in question?
- To what extent is the proposed model predictive? What are the predictions, and how could they be tested?
- To what extent is the model assumed to reflect human linguistic competence and/or behaviour? What is the justification for any such assumption?
- Do different compound properties require different types of models?
- Do different types of data (spoken corpora, written corpora, experiments) lead to different models? If so, how can these differences be accounted for?
- Does the use of more data and more sophisticated modelling facilitate the description and understanding of compound properties that would otherwise be elusive?
- Are there any quantitative corpus studies on the diachronic development of either particular compounding patterns or properties of one particular pattern?
- Are there approaches that model possible influences of language contact on the development of particular compound patterns or properties?

We invite original contributions that use empirical methods to investigate compound properties and focus on explanatory aspects of the resulting models.

Abstracts for the workshop need to be submitted via the EasyChair setup for the main conference. All instructions can be found here: http://www.nytud.hu/imm16/abssub.html. Please indicate on your abstract that it is intended for this workshop.

The deadline for the submission of abstracts is 17 November 2013.
Accepted papers will be notified by 31 January 2014.

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