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From here you can access sets of frequency lists with every word linked to a set of learning resources including text-to-speech (with Windows), concordance, dictionary, and a range of fixed and user built quizzes.

Learning principle: Learners like word lists, so let's give them good ones. 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 Cobb, 1999a and Cobb, 1999b).

  1. English Classic (1k+2k+AWL)
    (2 April 09): Build-a-Dictionary option from PET*2000 is revived. Access from larger context window (at bottom); full-sentence examples can be glossed and saved in Excel - paste-friendly format.

    1k and 2k lists as of Sept 08 are linked to corpora of graded reader collections. This means words are met in comprehensible contexts.

        1.a English BNC (1k - 20k) Jan 2011

    New in both English List_Learns: choice of nine translation dictionaries.
                          + 95% Mac Happy 12 March 2011

  2. French
    Only two 1000 lists are currently available, but more could be provided on user request. Similarly the quiz and other resources developed for English (see above) could easily be imported. The idea of using root strings (about' for aboutir, aboutie, etc) was originally devised as a way to limit the large number of morphologies (forms) that exist for most French words, which could easily make the family lists unmanageable. This idea was described in Cobb & Horst, 2002


        Put your own lists into List_Learn at Hypertext !
All code by T. Cobb, UQAM. Concept from doctoral thesis. Lists by West/Baumann, Culligan (classic) and Nation (BNC). To come: Auto-link to Group Lex