VocabProfilers    

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
    » + option to AWL : MSVL for mid.-school subjects, Gr. 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  
PLUS modifiable output (SEPT 2021)
VP-Phrases 2021
» Grade 9-university
Collocations, transitions, frequent idioms
VP-Coca Single index as used in Crossley, Cobb et al 2013

 

Vocabulary Profilers match text words to the divisions of 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 same-list based Tests.

 

  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
Ourput exports to VP

Group Lex
exports to VP

See also

Brezina and Gablasova's
Parser enabled NGSL-2500
profiler

    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