#morphological-analyzer
The latest AI and developer news about #morphological-analyzer, with the original source and a short summary.
The latest AI and developer news about #morphological-analyzer, with the original source and a short summary.
A case study of developing a morphological analyzer that reduced the final library size to approximately 200KB by using C++ and the LOUDS data structure to overcome strict capacity limits in mobile environments, and improved analysis speed by approximately 17% by optimizing the select0 operation.
Achieves an F1 score of 97.11 with a CNN model based on the Sejong Corpus, offering fast performance without GPU requirements via C++ implementation