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Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.
The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation. [3]
Web translation tool: The world's first web translation tool, Babel Fish, has launched as a subdomain of the AltaVista search engine. The tool was created by Systran in collaboration with Digital Equipment Corporation. [12] [13] 2006: April: Web translation tool: Google Translate has launched. [14] 2017: August: Web translation tool: DeepL ...
Statistical machine translation was re-introduced in the late 1980s and early 1990s by researchers at IBM's Thomas J. Watson Research Center. [ 3 ] [ 4 ] [ 5 ] Before the introduction of neural machine translation, it was by far the most widely studied machine translation method.
The history of machine translation (MT) starts around the mid 1940s. Machine translations was probably the first time computers were used for non-numerical purposes. Machine translation enjoyed a fierce research interest during the 1950s and 1960s, which was followed by a stagnation until the 1980s. [7]
The Georgetown–IBM experiment was an influential demonstration of machine translation, which was performed on January 7, 1954. Developed jointly by Georgetown University and IBM, the experiment involved completely automatic translation of more than sixty Russian sentences into English. [1] [2]
The history of machine translation dates back to the seventeenth century, when philosophers such as Leibniz and Descartes put forward proposals for codes which would relate words between languages. All of these proposals remained theoretical, and none resulted in the development of an actual machine.
Said to be probably the single most influential publication in the early days of machine translation, it formulated goals and methods before most people had any idea of what computers might be capable of, and was the direct stimulus for the beginnings of research first in the United States and then later, indirectly, throughout the world.