VP-kids
» Plan, study L1/L2 language development Grades 0-3
VP-Classic
Laufer & Nation's original LFP with AWL (Secondary/university)
» 2017 update - AWL by middle-school subject area » Plan/study language development Grades 4-8
VP-Collocs NEW 2021
AWL partner collocations
» Secondary/university
VP-Compleat
» Plan/study language development Grade 9-university
CLASSIC | BNC-20 (FAMS + LEMS) | BNC-COCA-25 | BNC-COCA-CORE-4 | NGSL-3000 | BNL | NUCLEAR| FRENCH 25
VP-Coca
Summed word frequencies --> single index
»as discussed in Crossley, Cobb et al (2013)
Vocabulary Profilers match text words to a frequency list. Most profilers on this site are based on Laufer, Nation, and Coxhead's Lexical Frequency Profiler (LFP), which divided words into the General Service List's 1 and 2000 levels, academic words, and the remainder or 'offlist,' or on the many lists developed since. VP is used for many research and teaching purposes, like rough-tuning texts to learners via Frequency Based Tests.
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Profilers pre-school to university
LINK text_lex_compare output
auto-links
to VP
LINK
Group Lex List extractor
auto-links
to VP
LINK!
VP concordances Sorted by average
VP Level
NEW
Check Brezina and Gablasova's Parser-based NGSL-2500 here
Check Masaki Eguchi's MWU Profiler (AUG 2020)
| 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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