Corpus Linguistics 5: Up and Running #LancsBox (Part 1) Level: ⚡️ Software: https://goo.gl/nFqWwB #corpus #lancaster
Signed Hamid Sadeghieh

Channel
@TranslationTechnology
On this record: Growth · Engagement · Posts · Cite this entry
476subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001030706618 |
|---|---|
| Type | Channel |
| Username | @TranslationTechnology |
| Created | Between 1 January 2016 and 15 September 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/TranslationTechnology |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 17:47 | 476 | -2 |
| 6 Aug 2026, 19:01 | 478 | no change |
| 6 Aug 2026, 15:51 | 478 | first reading |
20 posts held, back to 15 September 2016 — 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 pageof 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 16 November 2018. An engagement rate over an empty window would be a number about nothing.
Corpus Linguistics 5: Up and Running #LancsBox (Part 1) Level: ⚡️ Software: https://goo.gl/nFqWwB #corpus #lancaster
Signed Hamid Sadeghieh
Corpus Linguistics 4: frequency data, concordances and collocation Level: ⚡️ #corpus #lancaster
Signed Hamid Sadeghieh
Corpus Linguistics 3: Types of corpora Level: ⚡️ #corpus #lancaster
Signed Hamid Sadeghieh
Corpus Linguistics 2: annotation and mark-up Level: ⚡️ #corpus #lancaster
Signed Hamid Sadeghieh
Corpus Linguistics 1: Why use a corpus? Level: ⚡️ #corpus #lancaster
Signed Hamid Sadeghieh
Creating and Managing a Project in SDL Trados Studio 2017 Level: ⚡️ Software: goo.gl/p5pp7v #pm #trados #tm #term
Across: Data Cube Level: ⚡️⚡️⚡️ #pm #across #business_integration
How to create a termbase in SDL Multiterm 2017? Level: ⚡️ #term #multiterm
Across: Project Management Cockpit Level: ⚡️⚡️ #pm #across #business_integration
SDL's Translation Technology Products Level: ⚡️ #tm #mt #term #trados #multiterm
How AdaptiveMT Works in SDL Trados Studio 2017 Level: ⚡️⚡️ Software: goo.gl/p5pp7v #mt #trados #post-editing
Index of Translation Software (2010) Level: ⚡️ #tm #mt #term #l10n #tent
Showing the 12 most recent of 20 posts we hold for @TranslationTechnology. 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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“آرشیو چندرسانهای فناوریهای ترجمه” (@TranslationTechnology), 476 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/TranslationTechnology.
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.