progress in work

Human Intelligence Tasks (HITs) powered by Amazon Mechanical Turk

Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and businesses to outsource their processes and jobs to a distributed workforce who can perform these tasks virtually. This could include anything from conducting simple data validation and research to more subjective tasks like survey participation, content moderation, and more. MTurk enables companies to harness the collective intelligence, skills, and insights from a global workforce to streamline business processes, augment data collection and analysis, and accelerate machine learning development.

While technology continues to improve, there are still many things that human beings can do much more effectively than computers, such as moderating content, performing data deduplication, or research. Traditionally, tasks like this have been accomplished by hiring a large temporary workforce, which is time consuming, expensive and difficult to scale, or have gone undone. Crowdsourcing is a good way to break down a manual, time-consuming project into smaller, more manageable tasks to be completed by distributed workers over the Internet (also known as ‘microtasks’).

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All texts and images included in progress in work were generated by Amazon Mechanical Turk workers. Each user that took part in this “virtually distributed workforce” was paid USD $ 0.05 per task (sentence translation / photo). Project total cost: USD $ 29,61 (including $8,20 in fees charged by MTurk and $0.91 for bank costs). Total work time by MTurk workers: 41 556 seconds. Total time spent during the conceptualization, management, editing, post-production and design: 27h37m57s (non-billable).

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Source Text:
Extraction of all epigraphs from The Translator's Invisibility (2004), by Lawrence Venuti

From Chapter 1

I see translation as the attempt to produce a text so transparent that it does not seem to be translated. A good translation is like a pane of glass. You only notice that it’s there when there are little imperfections — scratches, bubbles. Ideally, there shouldn’t be any. It should never call attention to itself.

Norman Shapiro — apud Venuti

From Chapter 2

Words in One Language Elegantly us’d Will hardly in another be excus’d, And some that Rome admir’d in Caesars Time May neither suit Our Genius nor our Clime. The Genuine Sence, intelligibly Told, Shews a Translator both Discreet and Bold.

Earl of Roscommon — apud Venuti

From Chapter 3

The translator who attaches himself closely to his original more or less abandons the originality of his nation and so a third comes into existence and the taste of the multitude must first be shaped towards it.

Johann Wolfgang von Goethe (trans. André Lefevere) — apud Venuti

From Chapter 4

The fundamental error of the translator is that he stabilizes the state in which his own language happens to find itself instead of allowing his language to be powerfully jolted by the foreign language.

Rudolf Pannwitz (trans. Richard Sieburth)— apud Venuti

From Chapter 5

The translation of a poem having any depth ends by being one of two things. Either it is the expression of the translator, virtually a new poem or it is as it were a photograph, as exact as possible, of one side of the statue.

Ezra Pound — apud Venuti

From Chapter 6

How many people today live in a language that is not their own? Or no longer, or not yet, even know their own and know poorly the major language that they are forced to serve? This is the problem of immigrants, and especially of their children, the problem of minorities, the problem of a minor literature, but also a problem for all of us: how to tear a minor literature away from its own language, allowing it to challenge the language and making it follow a sober revolutionary path? How to become a nomad and an immigrant and a gypsy in relation to one’s own language?

Gilles Deleuze and Félix Guattari (trans. Dana Polan) — apud Venuti

From Chapter 7

The translator is the secret master of the difference of languages, a difference he is not out to abolish but rather one he puts to use as he brings violent or subtle changes to bear on his own language, thus awakening within it the presence of that which is at origin different in the original.

Maurice Blanchot (trans. Richard Sieburth) — apud Venuti

From Venuti himself

On the one hand, translation is defined as a second-order representation: only the foreign text can be original, an authentic copy, true to the author’s personality or intention, whereas the translation is derivative, fake, potentially a false copy. On the other hand, translation is required to efface its second-order status with transparent discourse, producing the illusion of authorial presence whereby the translated text can be taken as the original.

Lawrence Venuti (p. 7, Chaper 1)

Translators / Writers / Humans
by Worker ID

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A2RX8V7WBG0QGP
A2WX227WZ2TRZF
AUNIPSKQ8R5T3
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AN9G2NU0F1E3W
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AZBO9PRZKUY5G
A2L9QL5S7KUL6V
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some of which used machine-translating services

Working Languages
by HITs’ occurences

Portuguese
Spanish
Italian
Tamil
French
Tagalog
Hindi
Macedonian
Russian
Turkish
Filipino
Telegu
German

Photographers / Workplaces
by Worker ID

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fake submissions were not accepted

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