How Natural Language Processing Is Advancing AI Beyond Translators and Speech-To-Text - Credit: Forbes

How Natural Language Processing Is Advancing AI Beyond Translators and Speech-To-Text

The progress of natural language processing (NLP) is being propelled forward by a number of companies. NLP is an AI branch that has been around for some time, but it’s now moving past its traditional roles as translators and speech-to-text applications. This advancement in technology is allowing us to interact with machines more naturally than ever before.

One company at the forefront of this revolution is Google. They have developed their own NLP platform called Google Cloud Natural Language API which allows developers to easily integrate natural language understanding into their applications. The API can be used to analyze text and extract entities, sentiment, syntax, and other features from unstructured data sources such as webpages or emails. It also provides powerful machine learning capabilities that allow users to build custom models tailored specifically for their needs.

Another major player in the field of NLP development is Microsoft Azure Cognitive Services which offers a suite of APIs designed for building intelligent applications using natural language processing techniques such as entity extraction, sentiment analysis, keyword extraction and more. These services are powered by deep learning algorithms trained on large datasets so they can accurately interpret user input and provide meaningful responses back to them quickly and efficiently.

IBM Watson has also made significant strides in advancing the state of NLP technology through its Watson Discovery Service which enables developers to create cognitive search experiences across multiple data sources including documents, images and videos using natural language queries instead of keywords or structured query languages like SQL or SPARQL . Additionally IBM’s Watson Conversation service allows businesses to create chatbots that understand customer conversations in order to automate customer service tasks such as answering FAQs or providing product recommendations based on user preferences expressed during conversation with the bot .

In addition there are several startups making waves in this space such as Viv , an AI assistant created by Siri co-founder Dag Kittlaus; Wit , a conversational AI platform built by former Apple engineers; Linguistica , a startup focused on developing tools for automated content generation; Semantic Machines , an artificial intelligence company working on creating conversational agents capable of understanding complex human interactions; Snips , an open source voice assistant platform ;and many others who are pushing boundaries when it comes to what we thought was possible with natural language processing technologies today .

These advancements have allowed us not only communicate better with machines but also enabled us develop new ways use these technologies solve real world problems ranging from healthcare diagnostics medical research personal assistants virtual assistants autonomous vehicles etc All these developments point towards exciting future where humans will be able interact machines much more naturally than ever before

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