This article explores the history of language translation, from its early roots in dictionaries and clay tablets to the modern era of artificial intelligence. It highlights key advancements, including early computer experiments, the rise of machine translation systems like SYSTRAN and Babel Fish, and the transformative impact of neural machine translation.
Back in the days of yore, language translation was a highly specialized profession, critical for coordinating diplomacy or international trade. The first bilingual dictionary book,
“The idea of online translation was something that people strived for when computers began,” says Jaroslaw Kutylowski, the CEO of DeepL, a company that provides translation services using neural systems. “The Committee indeed believes that it is wise to press forward undaunted, in the name of science, but that the motive for doing so cannot sensibly be any foreseeable improvement in practical translation,”
“That’s a lot of work, and it requires combined effort by linguists and coders,” Kutylowski says, adding that it gets even more complicated with languages with “incredibly complicated grammar” like Japanese or Finnish. But machines are still apt to miss things like context, making words with two or more meanings sometimes hard to translate. But in 2016, artificial intelligence had opened new possibilities for machine translation. Google began to work with neural machine translation, which essentially meant creating a neural network that wouldn’t just translate words or phrases, but entire passages.
History LANGUAGE TRANSLATION AI HISTORY COMPUTERS NEURAL MACHINE TRANSLATION
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