#英语 #模版 英语模版更新 260630 最近一直在 vibe code 其他项目,所以没怎么腾出时间在模版的更新上。 这次为英语模版补全了此前日语模版领先的功能。 此外,我重构了模版的制作工具,现在可以从工具里同时生成日语和英语模版,所以以后都不会有英语模版落后的问题了。 更新方法:直接导入 Anki。
❤2
![Telegram profile photo for 阿健的外语沉浸资源 [英&日]](https://cdn.tgregister.com/av/d6/d6b243bdb18101aaa245be70e63ec09fcce51b6026e1709e8f6aafd664d8a42d.jpg)
Channel
@KenAnkiTemplate
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
52subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003726275734 |
|---|---|
| Type | Channel |
| Username | @KenAnkiTemplate |
| Created | Between 1 February 2026 and 2 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 5 times, most recently 12 September 2026 |
| On Telegram | t.me/KenAnkiTemplate |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 08:37 | 52 | +1 |
| 10 Aug 2026, 10:31 | 51 | no change |
| 6 Aug 2026, 20:17 | 51 | first reading |
13 posts held, back to 2 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 4 July 2026. An engagement rate over an empty window would be a number about nothing.
16 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 87.5% | |
| ❤🔥 | 1 | 6.25% | |
| 🤔 | 1 | 6.25% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 9 of the 13 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 16 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 2 April 2026 to 4 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#英语 #模版 英语模版更新 260630 最近一直在 vibe code 其他项目,所以没怎么腾出时间在模版的更新上。 这次为英语模版补全了此前日语模版领先的功能。 此外,我重构了模版的制作工具,现在可以从工具里同时生成日语和英语模版,所以以后都不会有英语模版落后的问题了。 更新方法:直接导入 Anki。
❤2
#日语 #模版 日语模版更新 260601
随着模版越来越复杂,新上手的人已经难以理解它了。因此,我在博客站里更新了《模版功能介绍》,详细地说明了模版的使用方法。(部分功能只给了日语模版,尚未在当前的英语模版中实现) 另外,还写了《Anki 的进阶使用》,是对原 Anki 教程的补充。 另外,还写了《我的日语沉浸制卡流程》,提供了配置的完整教程,而且比以前的教程更详细了。
❤2
File, posted without a caption
#日语 #英语 #模版 日语模版更新 260426 英语模版更新 260424 ㊀ 通用功能更新 ➊新字段DashedText: 相比PopupSelectionText给文字划上实线,DashedText会给文字划上虚线。 虚线有更弱的视觉提示,和更弱的排版优先级,详细行为是: 所有辞典块都没有普通下划线时,部分加载辞典时加载所有仅虚线辞典块; 同时存在虚线辞典块和实线辞典块时,部分加载辞典时仅加载实线辞典块; 对于仅虚线辞典块,虚线发挥类似普通下划线的折叠辞典并定位的作用; 当一个辞典块内同时有虚线和实线,只按照实线定位。 ➋PopupSelectionText功能优化: 1. 现在可以通过换行的方式匹配多处(如果内有<br> 或者 div 换行,则以此为分割点,分别匹配) 2. 现可以追加三种参数,实现更多的匹配模式 --field:xxxx 用来限定匹配某字段 --x(或其他数字) 用来匹配第x处 --…
❤2
#Anki插件 制作了调用 LLM 来在 Anki 里辅助选取释义的插件 AI Definition Matcher by Ken [260425] 功能介绍 读取当前卡片的上下文背景和辞典信息,让 LLM 找出匹配的释义,然后由用户选择性地将 LLM 挑选的释义写入 DashedText 或者 PopupSelectionText 字段。 配置步骤 将解压后的文件夹拖入到 Anki 插件目录。 进入插件设置,填写 API 信息。 为了更好的效果,最好配合我的新模版使用。
#牌组 自用的「国旗-国家」牌组 有天我使用 qBittorrent 时,由于看到里面的世界各地的旗帜,所以产生了记忆旗帜的想法。经过了一周,现已学习完毕。 这份牌组根据 ultimate-geography 生成,在此基础上,我移除了大量没有存在感的旗帜(例如所有的非洲国家),最终牌组卡片数量仅有 77 张。 我还将相关的地理位置添加到了卡片背面,这样在降低记忆难度的同时,可以获得一些地理知识。
❤2🤔1
#日语 #Anki插件 制作了 Anki 的日语注音插件「AI Furigana Selector by Ken」 功能: 配合插件 AJT Japanese,我的插件可以调用 LLM 剔除多余的注音,从而实现对日语的自动注音。效果见评论区。 使用方法: 0. 你具有适合的 API(我测试了 4o-mini,效果不错),并且了解 AJT Japanese 的自动注音功能 1. Install AI Furigana Selector by Ken [260419] into Anki's addons21 directory. 2. In Anki, open Tools > Add-ons > AI Furigana Selector by Ken > Config. 3. Set base_url, model, and an API key or dummy local key. 4. Open the Browser…
❤1
#英语 #辞典 新做了4 本英语词频辞典 今晚根据一些数据库制作了 Yomitan 英语词频辞典。类型和来源均写在了文件名上。 来源分别是: 英国影视、Brown University Standard Corpus of Present-Day American English、Google图书、Google网络语料库 如果想使用,在 Yomitan 内导入辞典即可。 260412编辑: 抱歉昨天发的第二本辞典存在错误。现在换源了,如果已经安装,请移除 Brown 这本然后重新下载安装
❤2
#英语 #辞典 制作了 Oxford Collocations Dictionary 和 Collins English Dictionary 13th Edition 把 Codex 的额度榨干净了。辞典预览放在评论区。 如果不急着用的话,可以等我以后提供模版内的排版优化。
❤1
#英语 #辞典 制作了 OLAD10 英英 for Yomitan 根据前几日购买的 OLAD10,制作了对应的 Yomitan 版本辞典,有需要的话可以自行取用。 相比既有的 OLADPE10,优点是释义会单独标难度,也带有更多的注解(如更多的例句、更多的英语或美语标记) 这个 Yomitan 版本的排版约等于没有,我目前不在 Anki 内使用这个辞典,也没有在未来英语模版里提供格式优化的打算。
❤1❤🔥1
#英语 #日语 #模版 修改辞典展示顺序的方法 在我的模版里,辞典会优先展示具有下划线的,然后按照模版内的参数决定展示顺序。 不同能力的人适合不同的辞典,例如低水平学习者适合将双语辞典放在靠前位置。 如果想修改排列顺序,需要编辑模版的背面内容:搜索 <!-- 辞典展示容器 --> ,然后修改其中 data-priority="XX" 中的数字,模版会按照 XX 从小到大的顺序排列辞典。
Showing the 12 most recent of 13 posts we hold for @KenAnkiTemplate. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.
“阿健的外语沉浸资源 [英&日]” (@KenAnkiTemplate), 52 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/KenAnkiTemplate.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.