32.3137, Calls: Computational Linguistics, Text/Corpus Linguistics/India

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Tue Oct 5 05:02:49 UTC 2021


LINGUIST List: Vol-32-3137. Tue Oct 05 2021. ISSN: 1069 - 4875.

Subject: 32.3137, Calls: Computational Linguistics, Text/Corpus Linguistics/India

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Date: Tue, 05 Oct 2021 01:02:19
From: Mika Hämäläinen [mika.hamalainen at helsinki.fi]
Subject: Workshop on Natural Language Processing for Digital Humanities

 
Full Title: Workshop on Natural Language Processing for Digital Humanities 
Short Title: NLP4DH 

Date: 16-Dec-2021 - 19-Dec-2021
Location: Silchar (online), India 
Contact Person: Mika Hämäläinen
Meeting Email: mika.hamalainen at helsinki.fi
Web Site: https://rootroo.com/en/nlp4dh-workshop/ 

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

Subject Language(s): English (eng)

Call Deadline: 07-Nov-2021 

Meeting Description:

The Workshop on Natural Language Processing for Digital Humanities is
co-located with ICON 2021. The proceedings will be published in the ACL
anthology. The workshop will take place virtually on the 16th or 19th of
December 2021.


Call for Papers:

We solicit original and unpublished work related to digital humanities and
natural language processing. Short papers can be up to 4 pages in length and
long papers up to 8 pages. Both submission formats can have an unlimited
number of pages for references. All submissions must follow the ACL
stylesheet. The accepted papers will be published in the ACL Anthology which
is indexed by services like Google Scholar.

The focus of the workshop is on applying natural language processing
techniques to digital humanities research. The topics can be anything of
digital humanities interest with a natural language processing or generation
aspect. A list of suitable topics include but are not limited to:

- Text analysis and processing related to humanities using computational
methods
- Dataset creation and curation for NLP (e.g. digitization, digitalization,
datafication, and data preservation).
- Research on cultural heritage collections such as national archives and
libraries using NLP
- NLP for error detection, correction, normalization and denoising data
- Generation and analysis of literary works such as poetry and novels
- Analysis and detection of text genres




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