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Natural Language Processing for your Business

the application of computational techniques to the analysis and synthesis of natural language and speech.

Natural Language Processing

NLP algorithms teach computers to use language like people. If you were manually searching for information from a set of documents, you’d skim for keywords too, just like search engines. That’s why machine translation, the first form of NLP, was modeled on World War II code breaking techniques. Developers hoped machine translation would translate Russian into English. Results were horrible, but the coders kept at it and a new type of machine learning was born. And because a company can’t grow internationally without translation, NLP was a technology with a business case from the get-go. Today, natural language processing is as integral to the workplace as communication itself.

Neural machine translation

Machine translation (MT) used to be laughable, but it’s pretty good now. Since natural language processing software learns language in the way a person does, think of early MT as a toddler

Chatbots

If machine translation is one of the oldest natural language processing examples, chatbots are the newest. Bots streamline functionality by integrating in programs like Slack, Skype, and Microsoft Teams

Hiring tools

On the topic of HR, natural language processing software has long helped hiring managers sort through resumes

Conversational search

Like Talla, Second Mind wants to answer all your employees’ questions. But this tool isn’t a bot: It’s a voice-activated platform that listens in on company meetings for trigger phrases like “what are” and “I wonder.”

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