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
42 lines
1.5 KiB
C++
42 lines
1.5 KiB
C++
#pragma once
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#include "key_event.h"
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#include "fuzzy_pinyin_options.h"
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#include "scheme_type.h"
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#include "sentence_association_options.h"
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#include <string>
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#include <vector>
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struct KeyStroke
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{
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ImeKeyCode vk = 0;
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ImeModifierMask modifiers_down = 0;
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ImeCharacter wch = 0;
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};
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struct QueryRequest
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{
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SchemeType scheme = SchemeType::Quanpin;
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std::string raw_input;
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std::string raw_input_with_cases;
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std::string normalized_input;
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std::string raw_segmentation;
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std::string normalized_segmentation;
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std::string segmentation;
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bool enable_shuangpin_helpcode = false;
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bool enable_quanpin_helpcode = false;
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// Autocorrection is type-gated (bit0 transposition, bit1 neighbor in the session-level
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// mask); both default off, so a fresh install never rewrites the user's spelling.
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bool enable_quanpin_autocorrect_transposition = false;
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bool enable_quanpin_autocorrect_neighbor = false;
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std::vector<KeyStroke> key_strokes;
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metasequoia::FuzzyPinyinOptions fuzzy_pinyin;
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// 整句候选来源与去重补位选项，默认全关。
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SentenceAssociationOptions sentence_association;
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// 给神经重排看的前文：本会话最近上屏的文本。空着也能重排，只是模型看不到语境，「shanghai」
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// 到底是上海还是伤害就只能靠词格自己的静态分。词典层只取末尾若干字（RerankOptions::
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// context_chars），所以这里给多了也无妨。
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std::string rescoring_context;
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bool valid = false;
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};
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