33.3622, Calls: Semantics, Sociolinguistics, Syntax, Text/Corpus Linguistics, Translation/Portugal

[The LINGUIST List]

LINGUIST List: Vol-33-3622. Sun Nov 20 2022. ISSN: 1069 - 4875.

Subject: 33.3622, Calls: Semantics, Sociolinguistics, Syntax, Text/Corpus Linguistics, Translation/Portugal

Moderators:

Editor for this issue: Everett Green <everett at linguistlist.org>
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Date: Sun, 20 Nov 2022 22:22:22
From: MARIANA PEREIRA [maridoras79 at gmail.com]
Subject: 1st International Conference on Data & Digital Humanities  Text Mining and Multimodal Storytelling

 
Full Title: 1st International Conference on Data & Digital Humanities  Text Mining and Multimodal Storytelling 
Short Title: DDHUM 

Date: 08-Mar-2023 - 10-Mar-2023
Location: Braga, Portugal 
Contact Person: Sílvia Araújo
Meeting Email: lang2science at gmail.com
Web Site: https://sites.google.com/view/ddhum 

Linguistic Field(s): Semantics; Sociolinguistics; Syntax; Text/Corpus Linguistics; Translation 

Call Deadline: 15-Jan-2023 

Meeting Description:

We are pleased to announce the 1st International Conference Data & Digital
Humanities, which will take place at the University of Minho, Braga, Portugal,
on 08-10 March 2023, as a virtual and face-to-face conference. This will be an
event hosted by CEHUM – Center for Humanistic Studies. This congress is part
of the research project PortLinguE (PTDC/LLT-LIG/31113/2017), entitled
''Multilingual portal for specialized languages: mining open data for
cross-language information retrieval'', in collaboration with the research
project DIAL4U (2020-1-FR01-KA226-HE-095526), entitled ''Digital pedagogy to
develop Autonomy, mediate and certify Lifewide and Lifelong Language Learning
for (European) Universities'' and with the research project SimpleText
(University of Bretagne Occidentale).

This conference arises from the dialogue between these funded projects and the
desire to share the research results and bring new practices for text mining,
open data, and open science to the academic community.

The conference covers the three main steps for processing textual data in
multilingual environments and aims to make data science methods more
accessible to the larger community and the Humanities: getting, finding
inspiration, and telling stories with text data.


Call for Papers:

Our hyper-connected digital world is defined by an overabundance of data. Text
data is everywhere, from social media to news articles to machine logs. The
growth in the volume of data created in different formats – text, image, or
video – and the speed with which they are generated provide interesting new
research opportunities that explore social interactions, literature,
languages, art, etc. Thinking about the Digital Humanities, at a time when we
are witnessing this exponential increase in the volume of digital information
available in different languages, inevitably leads us to the exploration of
different branches associated with the area of Natural Language Processing
(such as information extraction and retrieval, machine translation, automatic
analysis of textual content, text summarization, text simplification, text
generation, speech recognition, and synthesis, among others).

For mining information from very large repositories of text, we need to know
what we are looking for and how to analyse it. Our conference is a forum to
exchange methods and practical applications to gather, clean, manipulate, and
analyze textual data as well as to weave it into compelling, action-inspiring
stories using different and new digital forms of multimodal communication.

We invite linguistic experts, data scientists, IT professionals, developers,
and anyone with a keen interest in generating insights from textual data to
share ideas and advances on how open sources paradigm and new emerging
research text analysis/analytics methods are applied to different fields of
humanities and social sciences as well as to discuss current and future
challenges.

For submission info visit:
https://sites.google.com/view/ddhum/call-for-papers




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LINGUIST List: Vol-33-3622	
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