Earticle

목차

Basic
  Current Speech Recognition, Machine Translation Service
  Basic Principles of Artificial Intelligence, Machine Learning
  Autoencoding & Feature Representation
  Natural language Processing
 Speech Recognition
  Generative model vs End-to-end model
 Machine Translation
  Statistical MT vs Neural MT
  Word Representation and Sentence Representation
  Recurrent Neural Network & Convolutional Neural Network
  End-to-end or sequence-to-sequence model
  Google Translator Architecture
  Multi-way Multi-lingual Translation
 Summary

저자

• Kim, Hee Dong [ Hankuk University of Foreign Studies Dept. of Information and Communication Engineering ]
• Jhee, In Young [ Korea National Sport University School of Liberal Education ]

참고문헌