|From here you can access sets of frequency lists with
every word linked to a set of learning resources including text-to-speech,
concordance, dictionary, and a range of fixed and user built quizzes. (TTS temporarily unavailable).
Learning principle: Learners like word lists, so let's
give them good ones. As learners sense, word lists unlike natural
texts can provide broad coverage of a frequency zone in a short
time. And if properly resourced and used, lists can be a
stimulus to deep learning as well (a point elaborated in
- English Classic
(2 April 09): Build-a-Dictionary option from PET*2000 is revived. Accesse from larger context window (at
bottom); full-sentence examples can be glossed and saved in Excel - paste-friendly format.
1a. English BNC
(1k - 20k)
1k and 2k lists as of Sept 08 are linked to corpora of graded
reader collections. This means words are met in comprehensible contexts.
Complete List_Learn of the
entire language. In headword lists, with full family searches; connected
to Brown + BNC Sampler written corpora; Text to Speech (TTS), and choice of nine translation
Mise à jour complète - FEB 2013
The idea of using string radicals (about' for aboutir, aboutie, etc) was
originally devised as a way to limit the large number of morphologies
that exist for most French words, which could easily make the
family lists unmanageable. This idea was described in
Cobb & Horst, 2001
... here on its third refinement.
Put your own lists into List_Learn at Hypertext !