138 lines
6.3 KiB
Plaintext
138 lines
6.3 KiB
Plaintext
startup-begin = ChatPapers 加载中
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startup-finish = ChatPapers 已就绪
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prefs-title = ChatPapers
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item-section-chat-head = ChatPapers
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item-section-chat-sidenav = 论文对话
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item-pane-open-window =
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.tooltiptext = 在独立窗口中打开
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item-pane-adaptive-height =
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.tooltiptext = 切换自适应高度
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item-pane-adaptive-height-on =
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.tooltiptext = 自适应高度（已开启）— 点击切换为固定高度
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item-pane-adaptive-height-off =
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.tooltiptext = 固定高度（已开启）— 点击切换为自适应高度
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chat-loading = 正在加载 ChatPapers…
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chat-placeholder = 就这篇论文提问…
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chat-send = 发送
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chat-stop = 停止
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chat-summarize = 总结
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chat-add-selection = 添加选区
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chat-clear = 清空
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chat-save-note = 保存为笔记
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chat-need-config = 请先在偏好设置中配置 AI Provider
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chat-thinking = 思考中…
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chat-done = 完成
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chat-stopped = 已停止
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chat-cleared = 已清空对话
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chat-no-reply = 还没有可保存的 AI 回复
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chat-note-saved = 已保存为笔记
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chat-selection-added = 已将选区加入下一条消息
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chat-selection-empty = 未检测到选区。请先在 PDF 中拖选文字，再直接点「添加选区」（中间不要点别处）。
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chat-copy = 复制
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chat-copied = 已复制到剪贴板
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chat-empty-title = 开始对话
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chat-empty-desc = 可以一键总结本文，或提问方法、结果与局限等问题。
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itemmenu-chat = ChatPapers：对话
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itemmenu-compare = ChatPapers：多篇对照
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multi-title = ChatPapers 对话
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multi-empty-title = 文献对话
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multi-empty-desc = 单篇可直接提问；点「添加文献」从文库加入更多论文后可对比与主题综述。
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multi-placeholder = 输入研究主题或问题，例如：扩散模型在医学影像分割中的应用
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multi-topic-review = 主题综述
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multi-need-topic = 请先在输入框填写研究主题，再点「主题综述」
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multi-compare = 对比差异
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multi-summary-each = 各自摘要
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multi-common = 共同主题
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multi-close = 关闭
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multi-no-items = 请先选择文献
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multi-need-two = 请至少加入 2 篇文献后再做对比类操作（可点「添加文献」）
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multi-too-many = 最多支持 8 篇，当前已选 { $count } 篇
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multi-ready = 已载入 { $count } 篇文献，可开始对话；可用「添加文献」扩充
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multi-add-paper = 添加文献
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multi-remove-paper = 移出对话
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multi-add-none = 未加入新文献（可能已在对话中）
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multi-paper-added = 已加入 { $added } 篇，当前共 { $count } 篇
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multi-paper-removed = 已移出，当前共 { $count } 篇
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cite-style = 引用样式
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cite-copy = 复制参考文献
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cite-export = 导出文件
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cite-loading = 加载样式…
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cite-empty = 无可用样式
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cite-copied = 参考文献已复制到剪贴板
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cite-exported = 参考文献已导出
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cite-export-cancel = 已取消导出
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item-section-lecture-head = 语音伴读
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item-section-lecture-sidenav = 语音伴读
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lecture-loading = 正在加载语音伴读…
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lecture-mode-label = 语音伴读 · 先备课再听
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lecture-empty-title = AI 老师式伴读
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lecture-empty-desc = 一键备课：整体讲解与逐段精读，随时文字提问并获得语音回答。
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lecture-start = 开始备课
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lecture-status-idle = 点击「开始备课」，AI 将先读完整篇论文
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lecture-status-preparing = 正在备课…
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lecture-status-ready = 老师已备课 ✓
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lecture-status-ready-phase1 = 备课完成（Phase 1：摘要已生成）
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lecture-status-ready-step1 = 备课完成：{ $count } 段讲解可播放，点击下方段落或播放按钮开始听课
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lecture-status-failed = 备课未完成，请重试或检查 LLM 设置
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lecture-beat-list-title = 整体讲解
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lecture-beat-list-hint = 点击讲解段查看详情，点击 ▶ 开始朗读
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lecture-beat-detail-empty = 点击上方讲解段查看完整讲稿
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lecture-beat-label = 讲解 { $n }
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lecture-play-start = 播放
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lecture-play-pause = 暂停
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lecture-play-next = 下一段
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lecture-play-prev = 上一段
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lecture-play-complete = 本轮讲解播放完毕
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lecture-beat-tts-pending = 合成中
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lecture-beat-tts-failed = 失败
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lecture-reprepare = 重新备课
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lecture-save-note = 保存笔记
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lecture-note-saved = 伴读笔记已写入 Zotero 子笔记
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lecture-mode-overview = 整体讲解
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lecture-mode-paragraph = 逐段精读
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lecture-paragraph-list-title = 论文段落（先读原文，再听译文）
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lecture-para-list-hint = 点击段落查看详情，点击 ▶ 开始朗读
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lecture-para-detail-empty = 点击上方段落查看原文、译文与上下文
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lecture-para-play = 朗读此段
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lecture-para-label = 段落 { $n }
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lecture-para-original = 原文
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lecture-para-translation = 译文 / 讲解
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lecture-para-context = 上下文衔接
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lecture-granularity-paragraph = 按段
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lecture-granularity-sentence = 按句
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lecture-sentence-list-title = 逐句精读（先读原文，再听讲解）
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lecture-sentence-label = 段{ $p }·句{ $s }
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lecture-sentence-list-hint = 本段各句
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lecture-pdf-sync-hint = 播放时会在 PDF 阅读器中高亮对应原文。
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lecture-explain-selection = 解释朗读选区
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lecture-explain-selection-short = 解释朗读
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lecture-selection-empty = 请先在 PDF 中选中要解释的句子
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lecture-selection-explaining = 正在生成选区讲解…
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lecture-selection-done = 选区讲解完成
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lecture-selection-no-item = 无法识别当前 PDF 条目
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lecture-selection-title = 选区讲解
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lecture-selection-syntax = 句法/术语
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lecture-selection-context = 上下文作用
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lecture-selection-replay = 重播讲解
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lecture-playing-en = 正在播放：原文朗读
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lecture-playing-zh = 正在播放：中文讲解
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lecture-status-ready-step2 = 备课完成：{ $count } 段逐段精读可播放，笔记已同步
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lecture-no-pdf = 当前条目没有可用的 PDF 附件
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lecture-attach-error = 无法读取 PDF 附件
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lecture-mount-error = 语音伴读面板加载失败
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lecture-platform-hint-mac = macOS：MinerU 路径可在偏好设置 → ChatPapers → 语音伴读 中配置；留空则尝试 PATH 中的 mineru。
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lecture-platform-hint-win = Windows：请在偏好设置中填写 MinerU 可执行文件完整路径（如 mineru.exe）。
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lecture-platform-hint-other = 请在偏好设置中配置 MinerU 路径以启用 PDF 结构化解析。
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lecture-tts-provider = TTS 引擎：{ $provider }
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lecture-tts-test = 试听语音
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lecture-tts-testing = 正在合成测试语音…
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lecture-tts-test-done = 语音合成完成，正在播放
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