|
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.
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 as research shows, if properly resourced and used lists can be a stimulus to deep learning as well (a point elaborated in Cobb, 1999). Want to put your own lists into List_Learn? You have several ways of doing this with the Hypertext routines. |
- English Classic (1k+2k+AWL)
NEW (2 April 09): Build-a-Dictionary option from PET*2000 is at long last revived. Feature is accessed from larger context window (at bottom); full-sentence examples can be glossed and saved in Excel paste-friendly format.AWL lists as of June 08 have a new feature borrowed from List_learn French (see below) of assembling all word family members by a simple 'root' string; this allows the different morphologies (forms) of words to be revealed in a simple fashion and in addition shows the relative frequency of each.
New - 1k and 2k lists as of Sept 08 are linked to corpora of graded reader collections. This means words are met in comprehensible contexts.
- 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