29.3394, Calls: Comp Ling, Gen Ling, Hist Ling, Lexicography, Text/Corpus Ling/Sweden

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LINGUIST List: Vol-29-3394. Wed Sep 05 2018. ISSN: 1069 - 4875.

Subject: 29.3394, Calls: Comp Ling, Gen Ling, Hist Ling, Lexicography, Text/Corpus Ling/Sweden

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Date: Wed, 05 Sep 2018 01:59:25
From: Susanne Vejdemo [susanne at ling.su.se]
Subject: Workshop on Automatic Detection of Language Change

 
Full Title: Workshop on Automatic Detection of Language Change 
Short Title: WADL at SLTC 

Date: 07-Nov-2018 - 07-Nov-2018
Location: Stockholm, Sweden 
Contact Person: Yvonne Adesam
Meeting Email: yvonne.adesam at gu.se
Web Site: https://spraakbanken.gu.se/swe/forskning/workshop-automatic-detection-language-change 

Linguistic Field(s): Computational Linguistics; General Linguistics; Historical Linguistics; Lexicography; Text/Corpus Linguistics 

Call Deadline: 28-Sep-2018 

Meeting Description:

Workshop on Automatic Detection of Language Change

Our world changes, and with it we change our language. We forget fast and when
looking back, e.g. in old newspapers, lexical and semantic changes make
comprehension difficult and hinder us in applying text mining on historical
corpora to e.g. track sentiments over time.
Automatic detection of language change is a field that has gotten increasing
attention over the past decade. Due to digital corpora containing more data
and spanning over more time, combined with new and powerful embedding
technologies, methods for e.g., word sense change have become very popular.

Despite these initial efforts, we lack computational tools for studying
lexical and semantic changes at a large scale. Current methods are limited in
what they can find and methods for creating (neural) word embeddings that are
the state-of-the-art in e.g., sense change detection require sufficiently
large datasets. (Historical) Swedish and most other languages have fairly
small-sized data with a high error rate.

This workshop aims to bring together a community of researchers that focus on
different aspects of language change detection, both from a qualitative and
manual as well as a quantitative, automatic detection perspective.

We wish to encourage participants from a wide range of fields. We intend a
low-key workshop that will start with a keynote and continue with each
participant getting a chance to present themselves and their work, to find
possible collaborations (preferably across topics and fields) and better
utilize existing efforts and datasets. We hope to bring together technology
providers, data providers, and users such as researchers with interest in
historical texts from digital humanities, historical linguistics, history of
ideas, sociology, history etc. After a coffee break and the presentations, we
will have one more keynote and continue with some discussions and a planning
session for collaboration and a further workshop.

Workshop date: Nov 7 2018.
Contact: yvonne . adesam at gu . se
Workshop webpage:
https://spraakbanken.gu.se/swe/forskning/workshop-automatic-detection-language
-change
Conference webpage: http://sltc2018.su.se/ 

The workshop will be co-located with SLTC 2018 in Stockholm, on the 7 of
November 2018. See Call For Papers for more information.

Confirmed Speakers: Susanne Vejdemo, Nina Tahmasebi, Lena Rogström
Organizers: Nina Tahmasebi, Yvonne Adesam, Susanne Vejdemo


Call for Papers: 

Deadline for proposals: September 28, 2018, 6pm. 
Acceptance notification: October 8

There will be no published proceedings and the workshop is planned for half a
day. Please contact yvonne . adesam at gu . se to propose presentations, with
a preliminary title and a short description (maximum of 1 written page). We
are planning for presentations of 15-20 minutes for finished work and 5-10
minutes for ongoing work. 

Examples of welcomed talks include:

- You are a linguist, anthropologist, historian etc. who is interested in how
a certain word or a certain concept developed and changed in Swedish language
or culture over time. You have done corpus studies, but mainly manual, and
wish to explore if there are computational methods or collaborations that
could add more value to your research.
- You are a quantitative researcher with an interesting method that finds
patterns in e.g. time series data, and wonder if there are good data sets and
research questions to use this on.
- You are a linguist with a theory about how semantic change proceeds or how
new words are added to a language, looking for new methods to falsify your
hypotheses.




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