LINGUIST List 29.3394

Wed Sep 05 2018

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

Editor for this issue: Everett Green <>

***************** LINGUIST List Support *****************

Fund Drive 2018
28 years of LINGUIST List!
Please support the LL editors and operation with a donation at:

Date: 03-Sep-2018
From: Susanne Vejdemo <>
Subject: Workshop on Automatic Detection of Language Change
E-mail this message to a friend

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: < click here to access email >
Web Site:

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:
Conference webpage:

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.

Page Updated: 05-Sep-2018