Gartner Research

Hype Cycle for Natural Language Technologies, 2020

Summary

Recent advances in artificial intelligence and machine learning have enabled innovative approaches and advances in the field of natural language technologies. This report will assist CIOs and other enterprise leaders in assessing how and where these new opportunities and methods can best be applied.

Published: 06 July 2020

ID: G00467879

Analyst(s): Bern Elliot Anthony Mullen Adrian Lee Stephen Emmott

Table Of Contents
  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Text Summarization
    • Adaptive PEMT
    • Emotion AI
  • At the Peak
    • Large-Scale Pretrained Language Model
    • Natural Language Generation (NLG)
    • Conversational AI Platforms
    • Natural Language Processing (NLP)
  • Sliding Into the Trough
    • Natural Language Understanding
    • Virtual Assistants
    • Chatbots
    • Open-Source Natural Language Processing Toolkits
    • Speech Analytics
    • Ontologies and Graphs
    • Semantic Search
    • Text Autoclassification
  • Climbing the Slope
    • Insight Engines
    • Neural Machine Translation (NMT)
    • Speech Synthesis and Imitation
    • Text Analytics
  • Entering the Plateau
    • Speech Recognition
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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