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v2.1.6: 个人纠错学习、批量归纳、词库确认 / Personal corrections, batch learning, vocabulary review

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@github-actions github-actions released this 12 Sep 09:31

语音输入后亲手改对的词,现在可以积累起来,帮助之后的听写识别你的个人用词。

🎉 新功能

  • 个人纠错学习:在词库页开启“从我的纠正中学习”,支持的输入框会收集听写后的修改。功能默认关闭,由你决定是否启用。
  • 整批归纳:默认累计 50 次转写后统一提取词语,也可调整次数或按天归纳。未修改的内容提供上下文,新词必须有人工纠正作为依据,不会每改一句就调用模型。
  • 确认后加入词库:建议按人名、产品、专业术语等分类,支持查看修改前后原句、编辑拼写、批量加入、忽略和恢复。
  • 手动补充纠正:可在历史中补充纠正稿;也可在原应用选中改好的听写片段,通过快捷操作核对并保存。

使用说明

批量归纳会将相关文本发送给已配置的智能处理服务,可能产生该服务的调用费用。失败时记录保留,可手动重试。

自动捕获取决于输入框的支持情况;终端等无法可靠定位的场景请使用手动补充。词语确认后才会参与后续处理,不会自动生成强制替换。清除学习记录不影响已有词库和原转写历史。

Words you correct after dictation can now accumulate into personal vocabulary for future dictations.

🎉 New features

  • Personal correction learning: Enable “Learn from my corrections” in Dictionary to collect edits in supported input fields. The feature is off by default.
  • Batch analysis: Analyze 50 dictations together by default, choose another batch size, or use daily analysis. Unchanged text provides context; new suggestions require a user correction. Individual edits do not trigger separate model requests.
  • Review before learning: Suggestions are grouped into names, products, technical terms and other categories. View the original correction, edit spelling, accept in bulk, ignore or restore suggestions.
  • Manual corrections: Add corrected text from History, or select the corrected dictation in its original app and use the review shortcut to save it.

Getting started

Batch analysis sends relevant text to your configured text-processing provider and may incur its usage charges. Failed batches remain available for retry.

Automatic capture depends on input-field support. Use manual corrections in terminals and other fields where reliable tracking is unavailable. Approved terms inform future processing without creating forced replacements. Clearing learning data preserves your existing dictionary and original history.