VP HOME

Plan, study, monitor L1/L2 vocab development pre-school to university
VP-Kids
Grades 0-4
VP-Classic
Original LFP with AWL, Grade 9-university
» + OR replace AWL with MSVL for school subjects, Gr. 5-9

VP-Compleat
Grade 9-PhD Current development version
CLASSIC | BNC-20 FAMS/LEMS | BNC-COCA-25 k/c | BN-COCA-CORE-4 | NGSL-3000 | BNL | NFL-7 | FR-25
PLUS modifiable output (SEPT 2021)

VP-Phrases 2021 new
» Grade 9-university Collocations, transitions, frequent idioms
VP-Coca Averaged single-word index as used in Crossley, Cobb 2013

Vocabulary Profilers match text words to the divisions of a frequency list. Most profilers are based on Laufer, Nation's 'Classic' Lexical Frequency Profiler (LFP). VP is used for many research and teaching purposes, like rough-tuning texts to learners via same-list based Tests.

VP-RELATED on Lextutor

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
Ourput exports to VP

Group Lex
exports to VP

See also :

Brezina and Gablasova's
Parser enabled NGSL-2500
profiler

Spanish/German at
NCELP (UK)
(Centre for Excellence in
Lang. Pedagogy

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]

These profilers do not parse texts for POS (part of speech). To parse any text, check the Stanford online parser here

Is there a COCA profiler by k-levels? Sort of, here