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Natural Language Processing is a complex and important field of AI. It\u2019s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect.\n \nFor this episode we\u2019re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect\u2019s newest features allow for greater understanding of linguistic context that AI often finds so challenging.\n \nFor more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/\n\nIntel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. \n \nOther names and brands may be claimed as the property of others.