VP-kids
» Suppport (plan, study) L1/L2 language development, Grades 0-3
VP-Classic
Laufer & Nation's original 4-way sorter, GSL + AWL
» NEW 2017 update - AWL by middle-school subject area
» Support language development, Grades 4-8
VP-Compleat
» Support language development, Grade 9-university
CEFR (new)
CLASSIC
BNC-20
BNC-COCA-25
BNC-COCA CORE-4
NGSL +NAWL(or)Toeic(or)Business
BNL
FRENCH 25
on 1 interface
Vocabulary Profilers break texts down by word frequencies in a corpus, not their frequencies in any particular text (which is done here). The English profilers on this site are based on Laufer, Nation, and Coxhead's Lexical Frequency Profiler (LFP), which divided the words of texts into 1 and 2 thousand (k) levels, academic words, and the remainder or 'offlist,' or on the many corpus-based frameworks that have been developed since. VP is used for many research and teaching purposes, like rough-tuning text to learner via Frequency Based Tests.
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New! text_lex_compare output
auto-links
to VP
New!
Group Lex List extractor
auto-links
to VP
New!
Profilers cover pre-school to university
| Typical format
Sample output
Integral text: buck did not read the newspapers or he would have known that trouble was brewing not only for himself but for every tide water dog strong of muscle and with warm long hair from puget sound to san diego
Breakdown 1k types: [families 27 : types 29 : tokens 31 ] and_[1] buck_[1] but_[1] did_[1] dog_[1] every_[1] for_[2] from_[1] have_[1] he_[1] himself_[1] known_[1] long_[1] newspapers_[1] not_[2] of_[1] only_[1] or_[1] read_[1] sound_[1] strong_[1] that_[1] the_[1] to_[1] trouble_[1] was_[1] water_[1] with_[1] would_[1]
2k types: [3:3:3] hair_[1] tide_[1] warm_[1]
OFF types: [ ?:5:5 ] brewing_[1] diego_[1] muscle_[1] puget_[1] san_[1]
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