fanlusky
e7f7addd4f
- 新增 engine/neural：移植 chinese-ime-lm 的字符级 Transformer 推理，在词格解出的最多 12 条 n-best 里重排挑选整句，desktop / keyboard 两档模型各出一条首选，后台 worker 异步打分 - 词格支持 n-best 输出与重排（quanpin/lattice_rerank），全拼、双拼共用 - 新增 SentenceAssociationOptions，经 QueryRequest 传给各 provider；四个来源默认全关 - 资源契约登记两个 safetensors 与 NOTICE；模型二进制不进仓库，由 scripts/fetch-neural-model.ps1 按 neural-model/lock.json 下载并校验 SHA256 - 新增 neural_sentence 测试
Input engine (engine/)
The C++ conversion engine behind Metasequoia IME for Windows: input sessions, candidate lookup, helpcodes, the shared contracts and the voice module.
This directory used to be a submodule of metasequoiaime/MSIME-Engine. It is now a component of this repository, a sibling of server/, ui/, windows/ and installer/. Its upstream commit, and exactly what the Windows specialization removed, are recorded in UPSTREAM.md. Treat it as first-party code: reviewed, formatted and tested like anything else here, no longer merged from upstream.
| Directory | Purpose |
|---|---|
core/, quanpin/, shuangpin/, english/, japanese/ |
Input sessions and candidate lookup |
contracts/ |
The authoritative IPC wire format, dictionary format, punctuation policy and WebView message schema |
helpcode/ |
Helpcode (形码) tables and generators |
local_modes/, providers/, user_dictionary/ |
Local modes, online candidate sources, the user dictionary |
voice/ |
Recording, WAV encoding, recognition and text cleanup; builds independently |
googlepinyinime-rev/, ngram/kenlm/, utfcpp/, voice/third_party/ |
Vendored third-party code, kept in its upstream formatting and licence |
Integration is through <metasequoia/session.h>. See runtime architecture.
Build
The product build does not build this directory on its own: server/CMakeLists.txt pulls it in with add_subdirectory, so CI compiles and exercises the engine through the server and the TSF frontend. After changing something here, run the server's build and tests.
Building it standalone still works and is much faster while working on the engine. Dependencies are CMake 3.25+, a C++17 compiler, Boost, fmt, spdlog and SQLite3.
vcpkg install --triplet x64-windows-static
cmake -S . -B build -DCMAKE_TOOLCHAIN_FILE="$env:VCPKG_INSTALLATION_ROOT/scripts/buildsystems/vcpkg.cmake" -DVCPKG_TARGET_TRIPLET=x64-windows-static
cmake --build build --config Release --parallel
ctest --test-dir build -C Release --output-on-failure --timeout 20
ctest runs every engine target registered in the root CMakeLists.txt: the segmentation, IPC and punctuation contracts, the platform API, data paths, runtime isolation, dictionary state and the per-mode session tests. tests/ additionally holds a separate Windows-only project that is not part of that build — add new tests to the registered targets so they actually run.
Formatting is driven from the repository root by scripts/format.sh, using the .clang-format in this directory (voice/ has its own with a wider column limit). The vendored third-party trees and the generated headers are excluded.
Contract rules
The IPC wire format, opcodes, voice framing and WebView message definitions live in contracts/ and are the single source of truth. Consumers include the same headers; do not restate them on either side. Dictionary naming is defined by contracts/dictionary/format.json, shared with the repository root's scripts/dictionary_product.py.
Data and licensing
The dictionaries are neither stored nor built here. They arrive as a release pinned by tag and digest in product-lock.json and are downloaded at build time; the pipeline that produced them left with the specialization. Per-source licensing is tracked in NOTICE.md — read it before redistributing the built databases.
Recognition goes through a cloud provider; local Whisper inference was removed. The only committed model is voice/assets/models/silero_vad.onnx, loaded solely by the standalone Windows host that is off by default.
Licence
GPL-3.0. Vendored googlepinyinime-rev, ngram/kenlm (LGPL-2.1-or-later), utfcpp and voice/third_party/miniaudio keep their upstream licences.