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Natural language processing, or NLP for short, is best described as “AI for speech and text.” The magic behind voice commands, speech and text translation, sentiment analysis, text ...
Looking for natural language processing libraries? Check out our five NLP libraries to help you analyze and generate natural language text.
Learn the basics about natural language processing, a cross-discipline approach to making computers hear, process, understand, and duplicate human speech.
2. Lambeq is available as a conventional Python repository on GitHub and is available here: GitHub GitHub - CQCL/lambeq: A high-level Python library for Quantum Natural Language Processing 3.
Natural language processing (NLP) denotes the use of artificial intelligence (AI) to manipulate written or spoken languages. Like the air we breathe, NLP is so pervasive today that we hardly notice it ...
Elizabeth Merkhofer describes herself on Twitter as a “recovering linguist.” That’s because she jumped ship to data science. She’s not alone: there are almost 2,000 linguist-programmers like her in ...
Natural language processing (NLP) is one of the most important frontiers in software. The basic idea—how to consume and generate human language effectively—has been an ongoing effort since the ...
While NLP is powerful, Quantum Natural Language Processing (QNLP) promises to be even more powerful than NLP by converting language into coded circuits that can run on quantum computers. The ...
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