Plan, study L1/L2 vocab development pre-school to university
VP-Kids
Grades 0-4
VP-Classic
Original LFP with AWL, Grade 9-university
» 2017 LFP, for middle-school subjects, Grade 5-9
VP-Compleat
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.
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VP-RELATED
VP-Clozes
Classic, BNC-Coca "c" or "k"
VP-Concs
Lines sort by
average VP Level
MorphoLex
Profile texts by
affix level
Text_Lex_Compare
exports to VP
Group Lex
exports to VP
See also
Brezina and Gablasova's
Parser enabled NGSL-2500
profiler
Masaki Eguchi's MWU Profiler
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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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