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Digital NK

Month: January 2018

Machine Learning and the Bane of Romanization

An attempt to develop a quick and dirty method to automatically transliterate Korean using the McCune-Reischauer system with NLP, neural networks and character level sequence to sequence models. 0. IntroductionI […]

BenJanuary 2, 2018Conditional Random Fields, Hangul, Keras, Machine Learning, McCune-Reischauer, Natural Language Processing, Neural Networks, Python, RNN, Romanization, Sequence-to-Sequence, Unicode 
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Recent Posts

  • Language Models & Literary Clichés: Analyzing North Korean Poetry with BERT
  • Porting North Korean Dictionaries with Rust
  • Reverse Engineering a North Korean Sim City Game
  • Machine Learning and the Bane of Romanization
  • North and South Korea Through Word Embeddings

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