VP-Classic
Laufer & Nation's original 4-way sorter
VP-kids
250-word cuts for finer anlysis
VP-Compleat
current development version
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 the language at large, as opposed to in the text itself.
Most of the English Vocabprofilers on this site are based on Laufer and Nation's Lexical Frequency Profiler, and divide the words of texts into either first and second thousand levels, academic words, and the remainder or 'offlist,' or the BNC based 20 levels plus off-list. [Since this was written, several more frameworks have taken the field - see VP-Compleat.] VP is used for many research and teaching purposes (like matching text to learner via Levels Test (read how << Updated 2015 Nov 30).
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New! text_lex_compare output
auto-links
to VP
| 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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