Transformer-based natural language processing (NLP) models have serious implications for the entire field of NLP — from speech recognition systems to natural language generation (NLG), natural language understanding (NLU), machine translation, and text analysis applications. Consequently, tools for developing transformer-based models have become popular among researchers and developers implementing NLP applications.
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Hear My Words: Transformer-Based Models for NLP and Speech Recognition
By Curt Hall
Posted February 11, 2020 | Technology |
About The Author
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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