Machine Translation [Part 2]
Machine Translation is a procedure whereby a computer program analyzes a source text and produces a target text without further human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. An exception to that rule might be, e.g., the translation of technical specifications (strings of technical terms and adjectives), using a dictionary-based machine-translation system.
To date, machine translation—a major goal of natural-language processing—has met with limited success. A November 6, 2007, example illustrates the hazards of uncritical reliance on machine translation.
Machine translation has been brought to a large public by tools available on the Internet, such as Yahoo!'s Babel Fish, Babylon, and StarDict. These tools produce a "gisting translation" — a rough translation that, with luck, "gives the gist" of the source text.
With proper terminology work, with preparation of the source text for machine translation (pre-editing), and with re-working of the machine translation by a professional human translator (post-editing), commercial machine-translation tools can produce useful results, especially if the machine-translation system is integrated with a translation-memory or globalization-management system.
In regard to texts with limited ranges of vocabulary and simple sentence structure (e.g., weather reports), machine translation can deliver results that do not require much human intervention to be useful. Also, the use of a controlled language, combined with a machine-translation tool, will typically generate largely comprehensible translations.
Relying exclusively on unedited machine translation ignores the fact that communication in human language is context-embedded and that it takes a person to comprehend the context of the original text with a reasonable degree of probability. It is certainly true that even purely human-generated translations are prone to error. Therefore, to ensure that a machine-generated translation will be useful to a human being and that publishable-quality translation is achieved, such translations must be reviewed and edited by a human. The late Claude Piron wrote that machine translation, at its best, automates the easier part of a translator's job; the harder and more time-consuming part usually involves doing extensive research to resolve ambiguities in the source text, which the grammatical and lexical exigencies of the target language require to be resolved. Such research is a necessary prelude to the pre-editing necessary in order to provide input for machine-translation software such that the output will not be meaningless. Source
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