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Machine Translation Basics and Recent Trend

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

저자정보

  • 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

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