34.911, Calls: Gender-Inclusive Translation Technologies Workshop

[The LINGUIST List]

LINGUIST List: Vol-34-911. Fri Mar 17 2023. ISSN: 1069 - 4875.

Subject: 34.911, Calls: Gender-Inclusive Translation Technologies Workshop

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Date: 
From: Beatrice Savoldi [bsavoldi at fbk.eu]
Subject: Gender-Inclusive Translation Technologies Workshop


Full Title: Gender-Inclusive Translation Technologies Workshop
Short Title: GITT 2023

Date: 15-Jun-2023 - 15-Jun-2023
Location: Tampere, Finland
Contact Person: Beatrice Savoldi
Meeting Email: bsavoldi at fbk.eu
Web Site: https://sites.google.com/tilburguniversity.edu/gitt2023

Linguistic Field(s): Lexicography; Psycholinguistics;
Sociolinguistics; Text/Corpus Linguistics; Translation

Call Deadline: 14-Apr-2023

Meeting Description:

The "Gender-Inclusive Translation Technologies Workshop'' (GITT)  is
set out to be the first workshop that focuses on gender-inclusive
language in translation and cross-lingual scenarios. The workshop aims
to bring together researchers from diverse areas, including industry
partners, MT practitioners and language professionals. GITT aims to
encourage multidisciplinary research that develops and interrogates
both solutions and challenges for addressing bias and promoting gender
inclusivity in MT and translation tools.

Call for Papers:

GITT invites technical as well as non-technical submissions, which
consist of experimental, theoretical or methodological contributions.
We explicitly welcome interdisciplinary submissions and submissions
that focus on innovative, non-binary linguistic strategies and/or with
sociolinguistically-informed perspectives. The topics of interest
include, but are not limited to:

- Models or methods for assessing and mitigating gender bias
- New resources for inclusive language and gender translation (e.g.,
datasets, translation memories, dictionaries)
- Social, cross-lingual, and ethical implications of gender bias
- Qualitative and quantitative analyses on the potential limits of
current approaches to gender bias in translation and MT, error
taxonomies as well as best practices and guidelines
- User-centric case studies on the impact of biased language and/or
mitigating approaches which can include translators, post-editors, or
monolingual MT users

For submission info visit the website:
https://sites.google.com/tilburguniversity.edu/gitt2023/submissions



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