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…tion This document explores integrating Jieba word segmentation algorithm alongside the existing mmseg (maximum match segmentation) in OpenCC through experimental configuration support. Key findings: - Analyzed two implementation approaches: cppjieba (C++ native) and Python embedding via pybind11 - Strongly recommends cppjieba integration for performance, deployment simplicity, and maintenance - Designed extensible architecture using existing Segmentation interface - Proposed experimental config format to enable jieba without affecting current functionality - Outlined 4-phase implementation roadmap with risk mitigation strategies The analysis includes technical details on: - OpenCC's current segmentation architecture (Segmentation.hpp, Config.cpp) - Jieba's algorithm principles (Trie, DAG, HMM with Viterbi) - Detailed code examples for JiebaSegmentation class - CMake integration approach with ENABLE_JIEBA option - Comprehensive comparison matrix and implementation timeline
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This document explores integrating Jieba word segmentation algorithm alongside the existing mmseg (maximum match segmentation) in OpenCC through experimental configuration support.
Key findings:
The analysis includes technical details on: