The Dostoevsky Machine in Georgetown: scientific translation in the Cold War

Area of Science:

• Computational linguistics
• History of technology
• Cold War studies

Background:

• Machine Translation (MT) emerged during the Cold War, influenced by political pressures and the perceived need to translate Soviet scientific advancements.
• The Georgetown-IBM Experiment in 1954 marked the public debut of MT, fueled by technological optimism for universal computer translation.

Observation:

• Scientific writing was viewed as a simplified linguistic model, suitable for algorithmic translation and serving as both the method and goal of early MT.
• The Georgetown program, a major global initiative, focused on developing MT systems from 1954.

Findings:

• Early MT development was intrinsically linked to Cold War imperatives and a specific view of scientific language.
• The initial phase of MT, exemplified by the Georgetown program, aimed to overcome linguistic barriers in scientific communication.

Implications:

• Understanding the historical context of MT reveals its deep ties to geopolitical and scientific ideologies of the mid-20th century.
• The early challenges and eventual collapse of MT programs highlight the complexities of natural language processing and algorithmic approaches to language.