Using masked language modeling as a way to detect literary clichés. Training BERT to use on North Korean language data. Borrowing a pseudo-perplexity metric to use as a measure of [...]
Reverse engineering North Korean dictionary software to export the data to a more accessible format. Reading into North Korean software protection schemes, encoding formats and database indexing. Dealing with OOP [...]
Reverse engineering the North Korean version of a popular Sim City-like game using Ghidra and ndSpy to understand video game monetization strategies in the DPRK and the marketization of the [...]
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 [...]
0. IntroductionI sometimes get asked if there are many differences between the languages spoken in North and South Korea, to which I usually answer not that much . Since the Sunshine [...]
A quick look at a US Air Force dataset, some geographical data visualization using d3.js and an enquiry into North Korean data collection method during the Korean War and their [...]
A brief analysis of gender distribution in visual representations of everyday life in North Korea using facial recognition algorithms and transfer learning applied to convolutional neural networks. 1. The DataA [...]
Designing a pre-processing method to improve OCR results using Python and OpenCV for old North Korean print material. Creating a simple character segmentation algorithm using contouring and simple heuristics. 2. [...]
With the goal of performing OCR and indexing the content of archival documents, this posts explains how to build a simple Python web scraper to extract data from a public [...]