VisuApps
Experience language and its structures empirically
Apps
Real word vectors — English GloVe, German fastText (cc.de.300): relations as parallel arrows, king − man + woman ≈ queen with hits, near misses and learned bias, cosine against distance and sentences as a path with next-word candidates from GPT-2 or GerPT2.
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Static vs. contextual word vector in 3D: an ambiguous word starts between two islands of meaning and is pulled layer by layer by the context words, in proportion to their attention weights.
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Text from counts of the last n − 1 tokens: count table P(w|h), the path from gibberish to plausible text to verbatim copying, the explosion of possible contexts, smoothing and backoff; German and English corpora.
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Spatial family tree of the Indo-European languages, with height showing time from Proto-Indo-European to today. Ten basic words travel from the reconstructed root to about 30 languages; the First and Second Sound Shift and the centum/satem split are marked in colour in the forms. A test separates true cognates from chance look-alikes and loanwords.
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Text splits into tokens: byte-level BPE is trained live, the merge slider shows frequent words fusing into one token, plus token details, a language comparison and the share of the context window.
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One hum, nine vowels, one tongue: in the head cross-section you drag tongue, lips and jaw, and the sound tips from /a/ to /i/. The vowel chart shows live where formants F1 and F2 land — at unchanged pitch.
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How Egyptian picture signs became the Latin alphabet via Proto-Sinaitic, Phoenician and Greek forms. Each letter A–Z morphs on an engraved tablet through eight stages, with direction of writing, map, comparison and word test. Uncertain derivations are marked as conjectured.
Linguistics & phoneticsTry itWant to use these apps in your courses? Let’s find out what works for you.
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