#languagedocumentation
Live, measured metrics for the hashtag #languagedocumentation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #languagedocumentation
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 21:22 UTC0 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 21:22 UTCNo related tags with measured usage found for #languagedocumentation.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 21:22 UTCEverything below is measured over the latest 10 public posts (spanning ~20216 hours).
Posting hours (UTC)
Languages: English (9) · French (1)
Avg boosts / post: 4.3
Top of the latest posts
I guess it’s time for an #introduction! I’m a linguistics PhD focusing on #LanguageRevitalization, #LanguageChange, #LanguageDocumentation, and #SecondLanguage teaching. I work with the Tunica Language Working Group on Tunica, an #Indigenou
The first public version of the Tugg speech transcription tool for language documentation has been released. There are still no version numbers, and the installation consists of “git clone”. Sometime in the future we might add a better way
I’m thrilled to announce that I will be moving to #Philadelphia for a fellowship at the American Philosophical Society, where I will continue working on locating, building, and analyzing a corpus of #Tunica language documentation, as well a
#languagedocumentation across platforms
every network with a public tag surfaceFollow #languagedocumentation 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/languagedocumentation