Contra Automata: Pride and Prejudice?

The quality of Machine Translation (i.e. translation performed without direct human intervention) keeps improving, and yet it is often unfavourably considered. Machines don’t look like us humans, obviously; moreover, machines don’t think. How could they be able to translate? Yet translate they do, e...

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Main Author: Marc Lebon
Format: Article
Language:English
Published: Nicolas Turenne 2022-12-01
Series:Journal of Data Mining and Digital Humanities
Subjects:
Online Access:https://jdmdh.episciences.org/9056/pdf
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author Marc Lebon
author_facet Marc Lebon
author_sort Marc Lebon
collection DOAJ
description The quality of Machine Translation (i.e. translation performed without direct human intervention) keeps improving, and yet it is often unfavourably considered. Machines don’t look like us humans, obviously; moreover, machines don’t think. How could they be able to translate? Yet translate they do, even though automation and thinking are often seen as complete opposites. Work on thought systematisation and automation – applied to language – started a long time ago. Kircher, Wilkins, Leibniz and a number of others sought universal harmony, quite often as a remedy for the Babel “Disaster”. They developed new languages that would be free of any defects or translation mechanisms that anybody could use. The methods they used sometimes bear uncanny resemblance with current Machine Translation processes. Alan Turing, who worked on automatism as a concept, played a pioneering role. There is therefore a clear case to be made for reconsidering some of our biases and abandon the comfort of obsolete certitude.
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spelling doaj.art-717b69b8da964cf9870adfdfd7a32b682024-03-07T16:16:29ZengNicolas TurenneJournal of Data Mining and Digital Humanities2416-59992022-12-01Towards robotic translation?I. Historical and linguistic...10.46298/jdmdh.90569056Contra Automata: Pride and Prejudice?Marc LebonThe quality of Machine Translation (i.e. translation performed without direct human intervention) keeps improving, and yet it is often unfavourably considered. Machines don’t look like us humans, obviously; moreover, machines don’t think. How could they be able to translate? Yet translate they do, even though automation and thinking are often seen as complete opposites. Work on thought systematisation and automation – applied to language – started a long time ago. Kircher, Wilkins, Leibniz and a number of others sought universal harmony, quite often as a remedy for the Babel “Disaster”. They developed new languages that would be free of any defects or translation mechanisms that anybody could use. The methods they used sometimes bear uncanny resemblance with current Machine Translation processes. Alan Turing, who worked on automatism as a concept, played a pioneering role. There is therefore a clear case to be made for reconsidering some of our biases and abandon the comfort of obsolete certitude.https://jdmdh.episciences.org/9056/pdf[shs.hisphilso]humanities and social sciences/history, philosophy and sociology of sciences[shs.langue]humanities and social sciences/linguistics
spellingShingle Marc Lebon
Contra Automata: Pride and Prejudice?
Journal of Data Mining and Digital Humanities
[shs.hisphilso]humanities and social sciences/history, philosophy and sociology of sciences
[shs.langue]humanities and social sciences/linguistics
title Contra Automata: Pride and Prejudice?
title_full Contra Automata: Pride and Prejudice?
title_fullStr Contra Automata: Pride and Prejudice?
title_full_unstemmed Contra Automata: Pride and Prejudice?
title_short Contra Automata: Pride and Prejudice?
title_sort contra automata pride and prejudice
topic [shs.hisphilso]humanities and social sciences/history, philosophy and sociology of sciences
[shs.langue]humanities and social sciences/linguistics
url https://jdmdh.episciences.org/9056/pdf
work_keys_str_mv AT marclebon contraautomataprideandprejudice