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 ]