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Прикладная лингвистика в Питерской Вышке

@hselinguistic

On this record: Growth · Engagement · Reactions · Posts · Citations · Declared links · Cite this entry

218subscribers

+6 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002403948989
TypeChannel
Username@hselinguistic
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 14 September 2026
On Telegramt.me/hselinguistic

Growth

2122182158 August 2026 — 212 subscribers8 August 2026 — 212 subscribers22 August 2026 — 214 subscribers28 August 2026 — 216 subscribers5 September 2026 — 217 subscribers14 September 2026 — 218 subscribers8 August 202614 September 2026
6 measurements spanning 37 days, net +6. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 211–219 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 07:58218+1
5 Sept 2026, 20:41217+1
28 Aug 2026, 11:02216+2
22 Aug 2026, 10:26214+2
8 Aug 2026, 11:00212no change
8 Aug 2026, 04:30212first reading

Engagement

6 posts held, back to 8 July 2026the 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 6 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

43 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2046.5%
❤‍🔥1637.2%
🔥716.3%

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 6 of the 6 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 8 July 2026 to 28 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.

Recent posts

28 Jul 2026, 11:13 UTC126 views4 reactionsread 8 August 2026
Photo

На Зимней школе 2026 переводчик фильмов, аниме, сериалов, художественной литературы и преподаватель НИУ ВШЭ Светлана Тора, рассказаала о специфике работы с креолизованными текстами и разобрала случаи из переводческой практики. 📹Смотреть видео в ВК #поступление_2026

2🔥2

21 Jul 2026, 12:38 UTC198 views9 reactionsread 8 August 2026
Photo

Обучение на треке «Методика преподавания в цифровой среде» это не только освоение теоретических дисциплин, но и непосредственная интеграция знаний на практике. ➡️О проекте магистрантов, который меняет саму логику преподавания, — читайте в карточках и в материале на сайте.

❤‍🔥54

16 Jul 2026, 13:07 UTC189 views4 reactionsread 8 August 2026
Forwarded from @hsemagistrPhoto

В конце первого курса студенты онлайн-магистратуры «Прикладная лингвистика: обучение иностранному языку и перевод в цифровой среде» получили опыт проектной работы. В зависимости от выбранного трека — методики преподавания в цифровой среде или машинного перевода и языковой локализации — студенты защитили проекты на актуальные темы. Подробнее о них в карточках. Полную информацию о программе можно узнать по ссылке.

4

14 Jul 2026, 10:06 UTC176 views7 reactionsread 8 August 2026
Photo

В конце учебного года студенты трека «Машинный перевод и языковая локализация» защитили проект, посвященный разработке компендиума по постредактированию (post-editing, PE) и автоматическому постредактированию (automatic post-editing, APE) машинного перевода. Во время работы несколько студенческих команд анализировали разные научные публикации по теме и совместно формировали итоговый компендиум, адаптированный под ру

🔥52

9 Jul 2026, 13:01 UTC197 views3 reactionsread 8 August 2026
Photo

Уже через час начнётся консультация по поступлению! Подключайтесь, чтобы задать все интересующие вопросы и узнать больше о периоде приёмной кампании и обучении на нашей программе. ➡️Зарегистрироваться на онлайн-встречу

3

8 Jul 2026, 13:11 UTC270 views16 reactionsread 8 August 2026
Photo

В конце учебного года студенты трека «Методика преподавания в цифровой среде» представили итоговые проекты. Защиты разделились на два формата. Часть студентов провела продуктовый аудит действующих онлайн-курсов: проанализировала рынок и конкурентов, изучила целевую аудиторию и метрики удовлетворенности, а затем сформулировала конкретные гипотезы по улучшению. Другие разработали собственные образовательные продукты:

❤‍🔥115

Showing the 6 most recent of 6 posts we hold for @hselinguistic. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 14 September 2026 — this entry's latest reading, not the date you are reading this.

“Прикладная лингвистика в Питерской Вышке” (@hselinguistic), 218 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/hselinguistic.

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.