Plan, study L1/L2 vocab development pre-school to university


Grades 0-4
Original LFP with AWL, Grade 9-university

» 2017 LFP, for middle-school subjects, Grade 5-9

Grade 9-university
CLASSIC | BNC-20 FAMS/LEMS | BNC-COCA-25 k/c | BN-COCA-CORE-4 | NGSL-3000 | BNL | NFL-7 | FR-25  
VP-Phrases 2021
» Grade 9-university
AWL collocations, transitions, frequent idioms
VP-Coca Single index as used in Crossley, Cobb et al 2013
Vocabulary Profilers match text words to a frequency list. Most profilers are based on Laufer, Nation's Lexical Frequency Profiler (LFP), which divided words into the GSL 1k-2k, academic, and remainder or 'offlist.' VP is used for many research and teaching purposes, like rough-tuning texts to learners via Tests.



Classic, BNC-Coca "c" or "k"

Lines sort by
average VP Level

Profile texts by
affix level

exports to VP

Group Lex
exports to VP

See also

Brezina and Gablasova's
Parser enabled NGSL-2500

Masaki Eguchi's MWU Profiler

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


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]