#ngram
Live, measured metrics for the hashtag #ngram from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ngram
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 · mastodon.social (Mastodon public tags API) · fetched 2026-09-28 09:27 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-28 09:27 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-28 09:27 UTCEverything below is measured over the latest 37 public posts (spanning ~66497 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (26) · German (5) · Japanese (2) · French (2) · Russian (1) · Chinese (1)
Avg boosts / post: 0.5
Top of the latest posts
Recently I've combined various functions which I've been using in other projects (e.g. my personal PKM toolchain) and published them as new library https://thi.ng/text-analysis for better re-use: - customizable, composable & extensible toke
One of the basic questions we tackle when working towards statistical language models is "Can we predict a word?" This was also one of the intro questions to the students last Wednesday in our #ise2023 lecture no.4, when we were introducing
#Google Books Is Indexing #AI-Generated Books 👉 #GoogleBooks is indexing low quality, AI-generated books that will turn up in search results, and could possibly impact Google #Ngram viewer, an important tool used by researchers to track #l
What “ngram” means
WikipediaAn n-gram is a sequence of n adjacent symbols in a particular order. The symbols may be n adjacent letters, syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome. They are collected from a text corpus or speech corpus.
“N-gram” on Wikipedia (CC BY-SA) →#ngram across platforms
every network with a public tag surfaceFollow #ngram 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/ngram