#languagetranslation

Live, measured metrics for the hashtag #languagetranslation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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Own #languagetranslation

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
13
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 13
0.5
Avg reactions / post
Mastodon · last 13
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 05:55 UTC
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01
0
08-02

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-02 05:55 UTC

No related tags with measured usage found for #languagetranslation.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 05:55 UTC

Everything below is measured over the latest 13 public posts (spanning ~67935 hours).

Top of the latest posts

  • Are all language translators infected with slop these days? Looking for a good place to translate between English and Japanese. Google Translate is meh and Id like to avoid Google. DeepL seemed like it was the closest I got to good/quality

    Kat the Leopardess@[email protected]342026-06-19 10:13 UTCView post →
  • I don't have numbers, but I guess the dark number is way higher. Even higher then it was in 2019. And for companies #artificialintelligence ends by #NLP #OCR #languagetranslation or #imageclassification or #mailclassification by services pr

    Gottfried Szing :unverified:@kjoo202022-11-14 20:17 UTCView post →
  • I always imagined that texts of one language would be improperly translated to another language. It seems very possible, unless great care is taken to prevent implied meaning or even literal meaning, from being lost. Little did I realize wh

    Dustin@[email protected]102025-12-03 05:54 UTCView post →

#languagetranslation across platforms

every network with a public tag surface

Follow #languagetranslation straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/languagetranslation