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If you’ve ever used Google Translate, you’ve experienced natural language processing (NLP) in its real action. NLP is the scientific study of how to create formal models of human language and develop algorithms that can use these models. The goal of NLP applications, like chat systems, machine translation, and information extraction, is to make sense of unstructured text and allow for organized searches within it. The NLP market is expected to reach $68.1 billion by 2028, with a compound annual growth rate (CAGR) of 29.3%. (Source: Markets and Markets ) The NLP market size is expected to show an annual growth rate of 27.55%, resulting in a market volume of US$156.80bn by 2030. If you’re interested in working with NLP, it’s important to have a solid understanding of probability, algorithms, and multivariate calculus. NLP is all about studying mathematical models that help computers understand how humans learn and use language. This blog will give an overview of NLP development services ...

Whether it is making a business deal, buying or selling a product, navigating your way through a new city, or simply catching a cab, a language barrier can prove to be a significant hindrance. This is why there is an increasing demand for voice translation technology, which can be a cure to this problem. While it's true that we have apps and services that can do the translation for you in a textual manner, most of them are laggy and produce an unsatisfactory experience. And that's where the voice translation technology chimes in. With a good voice translation app, two or more people can communicate with each other without having any prior knowledge of the different languages; the app does the translating for you! Wait! Let us tell you all there is to know about a 'Voice Translation App,' including how it's built to all its use cases. How to build a voice translation app? Voice Translation is a modern-day marvel of technology, a simple application that can facilitate...