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Computers were invented to make life less complex for humans. Until recently though, they were unable to understand human languages as their language involved only strings of ones and zeros. Humans, on the contrary have always been naturally expressive and hence, more complicated to understand as language and speech is not restricted to words alone. Although it was assumed that humans and computers cannot truly connect, with NLP that is no longer true. In the current realm of Google, social media and eCommerce, humans expect instant and personalized recommendations that are explicitly relevant to what they were searching or looking for. This human-machine interaction must be done at a scale and efficiency that cannot be sustained by humans alone. An AI-based solution that helps computers understand and interpret human languages is what NLP does.
The intricacies of our human languages are overwhelming even to humans and most often languages are intuitive behaviours used to convey information by using semantic cues such as words, signs, or images. However, language comes naturally to humans, but is exceptionally difficult for computers to comprehend. Given the abundance of unstructured data and absence of real-world context or intent, both ML (machine learning) and artificial intelligence (AI) are dependent on humans to interact and perform tasks. Traditional search has done a great job helping humans discover and derive insights from some of this data.
However, enterprises today need to go beyond search to maximize the use of unstructured data as a resource for enhanced analytics and decision making. NextWealth’s NLP capabilities in Audio and text can help enterprises in query understanding and content understanding as well as improve both user experience and insight discovery.
Artificial Intelligence today can speak, write, listen, and understand human language. NLP Powered applications extract meaning from human language to make decisions based on the information at hand through artificial intelligence and computational linguistics, thus making human languages, machine friendly.
Categorize user inputs into simple or complex queries. Detect intent of users in the given context or extract entities accurately to design seamless human-machine interactions.
Operating systems identify spoken words and phrases and converts them into machine readable format. Using various acoustic and language algorithms, convert voice commands into tasks performed by devices.
Good quality spellings are an integral part of chatbots, word processors and search engines. Identify and correct spelling mistakes in a text or grammatical and syntactical errors.
Quickly convert a natural language into another, without losing the meaning of the input text and produce fluent text in the output language.
Cover human decisions to extract context and data to interpret and classify basic human emotion and predict positive, negative, or neutral intonation.
Flag inappropriate content for human judgment and reviews under predefined categories to organize, structure, and categorize text.
to eliminate miscommunication on speech recognition processKnow More
for Artificial Intelligence (AI) & Machine Learning (ML)Know More