日本地圖(帶振り仮名註音)

Channel
日語學習資源導航頻道
@learn_ja
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
781subscribers
-2 since we began measuring on 17 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001218535377 |
|---|---|
| Type | Channel |
| Username | @learn_ja |
| Created | Between 1 March 2018 and 5 May 2018 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/learn_ja |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 21:21 | 781 | -2 |
| 17 Sept 2026, 04:22 | 783 | no change |
| 17 Sept 2026, 03:47 | 783 | first reading |
Engagement
20 posts held, back to 5 May 2018 — 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 20 posts for this entry, the most recent from 17 June 2021. An engagement rate over an empty window would be a number about nothing.
Recent posts
日語學習小組 爲有志於日語學習的諸位提供的交流場所,無論你是基礎學習者還是高級學習者,都歡迎加入討論。 为有志于日语学习的诸位提供的交流场所,无论你是基础学习者还是高级学习者,都欢迎加入讨论。 @learn_ja_group
古典日語 古典文法 * 古典ロック
古典ロック 古典文法の歌 1. 動詞編 2. 形容詞編 助動詞の歌 1. 未然形接続編 2. 連用形接続+「り」編 3. 終止形(ラ変連体形)接続編 4. 体言(など)接続編 敬語の歌 1. 尊敬語編 2. 謙譲語・丁寧語編 助詞の歌 1. 格助詞・係助詞編 2. 接続助詞・間投助詞編 3. 副助詞・終助詞編
在線辭書及工具 綜合辭書 * MOJi辞書(APP) * Jisho.org(日英英日) 國語辭典 * Weblio辞書 * goo国語辞書 * コトバンク 日漢漢日 * 沪江小D * Weblio日中中日辞典 漢字相關 * 漢字辞典 * 漢字ペディア * 漢字辞典オンライン * 大修館書店:漢字文化資料館 * 漢字の正しい書き順(漢字寫法筆順) * 文字拡大(多種字體放大) * かくなび(漢字寫法筆順、慣用句漫畫解說等) 讀音與アクセント * 読み方は?(人名地名普通名詞注音工具) * OJAD(單詞和任意文本的音調查詢和朗讀) 近義詞、反義詞、對義詞 * 類語辞典・シソーラス・対義語 - Weblio辞書 * 類語辞書 - goo辞書 * 連想類語辞典 * 違いがわかる事典 四字熟語 * 四字熟語 * 平明四字熟語辞典 動詞相關 * 複合動詞レキシコン(有翻譯的複合動詞詞彙集) * 基本動詞ハンドブック(多義…
語法專題 (動詞) * 五段活用(第一組)例外詞 * 動詞テ形タ形音便表 (助詞) * 区分「は/는」「が/가」之道
五十音圖專題 * 五十音圖全圖(PDF) * 五十音圖學習法 * 仮名の由来 * ひらがなの由来 * カタカナの由来
語音專題 * 五十音圖專題 (發音教學視頻) * 山樱社日语教学 * 一句话让你轻松理解日语的送气音、不送气音和浊音(後五分鐘有誤,謹慎觀看) (音調) * OJAD(單詞和任意文本的音調查詢和朗讀)
山樱社日语教学 第一章 元音 第二章 声调 第三章 清音浊音各有两种形式 第四章 ya行 第五章 拨音 长音 促音 第六章 ka行和ga行的直音与拗音 第七章 sa ta 清浊直拗 第八章 ha 清浊直拗 第九章 ra行 第十章 na行和ma行 第十一章 wa行 第十二章 外来发音
日語學習資源導航頻道 pinned «資源索引 * 日經問題 FAQ * 語音專題(五十音圖專題) * 官方文件及標準 * 在線辭書及工具 羣組索引 * 日語學習小組 * 古典日語愛好者:@koten_kobun * 広さと深さを探している:@caocaogao 頻道索引 * Learning languages:@learninglanguagesbyctsleo * 日語學習雜記:@mkpoli_ja_note»
資源索引 * 日經問題 FAQ * 語音專題(五十音圖專題) * 官方文件及標準 * 在線辭書及工具 羣組索引 * 日語學習小組 * 古典日語愛好者:@koten_kobun * 広さと深さを探している:@caocaogao 頻道索引 * Learning languages:@learninglanguagesbyctsleo * 日語學習雜記:@mkpoli_ja_note
日語學習資源導航頻道 pinned Deleted message
Showing the 12 most recent of 20 posts we hold for @learn_ja. 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.
Mentions
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@learn_ja named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 18 September 2026 – 18 September 2026
Cite this entry
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“日語學習資源導航頻道” (@learn_ja), 781 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/learn_ja.
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.