Machine translation and fair access to information-Reference-Cited by-同舟云学术

Machine translation and fair access to information

Published:2020-08-17 Issue:1 Volume:9 Page:150-169
ISSN:2211-3711
Container-title:Fair MT
language:en
Short-container-title:TS

Author:

Nurminen Mary¹^ORCID,Koponen Maarit²³^ORCID

Affiliation:

1. Tampere University

2. University of Turku

3. University of Helsinki

Abstract

Abstract This article contributes to the discussion on fairness and ethics in MT by highlighting efforts that have been made to use MT for the humanitarian purpose of increasing access to information for groups that are underserved. The article provides an overview of example projects in which MT has been implemented for this purpose in three contexts: civic participation, public health and safety, and media and culture. In addition, the article examines some of the ethical issues surrounding efforts to use MT for accessibility, including issues of quality, acceptability, and the need to involve stakeholders in development.

Publisher

John Benjamins Publishing Company

Subject

Literature and Literary Theory,Linguistics and Language,Language and Linguistics,Communication

Link

http://www.jbe-platform.com/deliver/fulltext/ts.00025.nur.pdf

Reference55 articles.

1. Gamayun: The Language Equality Initiative;Ansari,2018

2. The Machine Translation Maturity Model at PAHO;Aymerich;Proceedings of the Twelfth Machine Translation Summit,2009

3. The translation of economics and the economics of translation

4. Global Under-Resourced Media Translation (GoURMET);Birch;Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks,2019

5. D5.6: Report on Third Year’s Evaluation;Birch,2018

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