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Technology as translation strategy

Por: Tipo de material: TextoTextoSeries Scholarly monograph series ; IIDetalles de publicación: Binghamton : American Translator Association; State University of New York at Birghamtom , 1988Descripción: 249 pTema(s): Resumen: Editor's Notes: Translators may be surprised to learn that the idea of using machines to facilitate the translation task has been around for a very long time. Already more than half a century ago inventors were at work on machines that would effect the transfer from one language to another.l In as early as 1933 a patent was granted in France to Georges Artsruni for his "mechanical brain" that could replace words or combinations of words with equivalents retrieved from a target dic~ tionary. Also, in that same year, P.P. Trojanskij, working in the USSR, proposed a complete translation process that would be largely automatic. Words were to be entered in a source dictionary together with "logical analysis marks" and then paired with their equivalents in a target dictionary, which also had their associated marks. An input text, matched word for word against the source dictionary, would undergo analysis and, based on the information from the analysis marks, be converted into logical formo An automated lookup would then retrieve, for the elements in logical form, tl¡eir corresponding equivalents in the target dictionary, and the grammatical forms would be generated automatically, based on the marks assigned to each entry. T rojanskij envisioned that human beings would be needed at the front end, to supply the words and the logical marks for the dictionary, and at the output end, to modify the text so that it would have the characteris~ tics of natural language. Trojanskij's model is in fact a clear and accurate description of machine translation (MT) as we know it today. The process was not to become a reality, however, until computer science itself caught up with his vision.
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Editor's Notes: Translators may be surprised to learn that the idea of using machines to facilitate the translation task has been around for a very long time. Already more than half a century ago inventors were at work on machines that would effect the transfer from one language to another.l In as early as 1933 a patent was granted in France to Georges Artsruni for his "mechanical brain" that could replace words or combinations of words with equivalents retrieved from a target dic~ tionary. Also, in that same year, P.P. Trojanskij, working in the USSR, proposed a complete translation process that would be largely automatic. Words were to be entered in a source dictionary together with "logical analysis marks" and then paired with their equivalents in a target dictionary, which also had their associated marks. An input text, matched word for word against the source dictionary, would undergo analysis and, based on the information from the analysis marks, be converted into logical formo An automated lookup would then retrieve, for the elements in logical form, tl¡eir corresponding equivalents in the target dictionary, and the grammatical forms would be generated automatically, based on the marks assigned to each entry. T rojanskij envisioned that human beings would be needed at the front end, to supply the words and the logical marks for the dictionary, and at the output end, to modify the text so that it would have the characteris~ tics of natural language. Trojanskij's model is in fact a clear and accurate description of machine translation (MT) as we know it today. The process was not to become a reality, however, until computer science itself caught up with his vision.

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