Thread by @ProcessNine

#Chapter8 of #StraightFromTheHeart by @rk_process9
Should you consider Machine Translation?

@rk_process9 #ChatGPT has generated more interest & debate in recent months than any other #tech in decades. It has accomplished tasks previously only seen in #scifi movies or read in fiction, marking a significant milestone in the field of #ai.
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In 1950, father of #AI - Alan Turing, devised a test where a #machine could be considered AI, if one can't differentiate its responses from a human's. If a machine can accurately #translate text from one language to another, like a human, it would pass the Turing test.
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High-quality #machinetranslation (MT) is now being offered in multiple #languages by several companies. By training machines with a large amount of human-translated content, the quality of #MT significantly improves.
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#MachineLearning algorithms (#aiml) have enabled machines to learn and #translate with near-human accuracy. Additionally, increased training data between two languages can lead to even better translation quality for those two #languages
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A few MNCs and #Indian companies have created #MT systems for Indian languages, such as #Hindi, #Tamil #Telugu and others, which have shown impressive #translation quality from English.
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To further enhance the effectiveness of #MT in these #languages, increased usage will be helpful. I highly recommend that organizations that require large volumes of #translation make extensive use of #machinetranslation
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This will not only help improve MT accuracy, but also reduce #translation costs and encourage creation and proliferation of #locallanguage content.
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#futuretech #aiml #LLM #GPT4 #india #localization #automation #GrowthHacking