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Showing posts with the label Translation Technology

How can we ensure accuracy in the translation from English to Gujarati?

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With more than 60 million Gujaratis across the globe, the proper translation is most critical for appropriate communication, whether a website, document, legal, work, literature, or marketing material is in question. More than that, the English to Gujarati translation requires a more profound understanding of the two languages. Cultural nuance is associated with both of them, and it is a subtle, artful connotation that explains the meaning of a different worldview. This blog will discuss how to ensure accuracy in translation to help arm you with the knowledge and tools to get it right and avoid cultural faux pas. 1. Importance of Accurate Translation: Accurate translation is no longer a fine-turned expression but has become a strategic necessity. Bad translations can have dire consequences, from communication breakdowns and mistranslations to insults to one's reputation and even legal implications.  75% of consumers prefer readable products in their native langua...

How to Improve the Accuracy of OCR Translation Tools?

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Optical Character Recognition (OCR) technology got better and better over the past decade thanks to more elaborated algorithms, more CPU power,r, and advanced machine learning methods. Getting to OCR translation accuracy levels of 99% or higher is however still rather the exception and definitely not trivial to achieve. We learned at Devnagri AI the hard way how to fine-tune our OCR engine to achieve good OCR accuracy and spent weeks fine-tuning our  Image to Text Converter Online engine. So, if you are in the process of setting up an OCR solution and want to know how to increase the accuracy levels of your OCR engine, then keep on reading… This blog talks about various techniques to enhance OCR accuracy and shares what we learn from building a world-class OCR system for Devnagri AI. So, First, Let's Define OCR Translation Accuracy Now when talking about OCR accuracy, there are two ways of measuring how reliable OCR is: Accuracy on a character level : In most cases, the accuracy...