Compleat Web VP v.2.5 Million-word VPs Profile texts with *9* list frames in *2* langs. and *2* grain-sizes at *1* interface Units: Note that BNL, Coca-Core, CEFR, & Classic AWL are not full 1000-family lists (see [?] details); & that NGSL, BNC-25k, and French are (F)lemmas not Families RelatedHow to make list framework comparisons? Last Demo From here OR (NEW) AT OUTPUT Does lex frequency predict text complexity? Check these Check VP-sorted concordances, easiest contexts first here VP-1 VP-Basic ➔FRAMEWORKS➔ BNC-COCA 1-25k [?] Lists > BNC-COCA NFL7 (v.2) NEW [?] Lists > BNC-COCA 1-25 C ("c-series," 100 heads) [?] Lists CLASSIC (GSL/AWL)[?] Lists BNC Fams 20k (f)Lemmas 25k (f)Lemmas 50c [?] K C BNC-COCA Core-4 [?] Lists NGSL +NAWL OR +TOEIC OR +BIZ [?] Lists CEFR - English [?] Lists BNL [?] Lists FRENCH v.5, 1-25k [?] Lists *** Frameworks can be modified at output Input mode A Type or paste small to medium size text (max about 25,000 words/25 seconds) into window, choose options, and click yellow Submit_window button for Lexical Frequency Profile. Title: |+| Eng+Fr! Cognates (Lists) |+| Sentence Count |+| Bar Chart |+|Count Index ? |+| Basic ? INSTRUCTIONS: Type or paste your text here and click the yellow SUBMIT_window button. VocabProfile will tell you how many words the text contains from frequency bands as determined by analysing research corpora. For a demonstration, enter this text, or one of the sample texts below. TEXT SET-UP General: Include an empty space after every comma or full stop. Research: Deal with spelling errors and proper nouns. SIZE LIMITS: Web form input is currently max about 25,000 words - use UPLOAD method below for larger files ( must be ~.txt; send in straight from your own hard drive). Text is NOT stored on Web VP's server Demos: Lit (1) (2) | Graded (1) (2) | Science (1) (2) | News (NYT) (WP) (Rex) Speech Adults Kids | Legal | GSL+AWL 1k 2K AWL | French ➔RECAT Words to recategorize => 1k (type, dbl-click) (E.g. known cognates/compounds) PROPER NOUN HANDLING ? Off-list mid-sentence caps... Class as offlist * Class as 1k/1c * Eliminate * COMPOUNDS HANDLING ? When Off word is 2 wds... Class as offlist * Break apart *
RelatedHow to make list framework comparisons? Last Demo From here OR (NEW) AT OUTPUT Does lex frequency predict text complexity? Check these Check VP-sorted concordances, easiest contexts first here
VP-1 VP-Basic
CORPUS Brown Corpus (1 million) LOB Corpus (1 million) BNC Speech Sampler (900,000) BNC Writ. Sampler (>1 million) BAWE Sampler (>1 million) BAWE Physics (197,000) 1k Graded 1k (500,000) 2k Graded (>1 million) 4k Graded (830,000) 8k Graded (882,000) TV Talk Corp. (500,000) COCA speech sampler (387,000) COMBO (cross-corpus, NFL paper) Dr House (8 seas.) (800,000) Wikipedia (12 sects.) (1 million) President Speeches (>1 million) Ulysses (JJ; 270,000) War & Peace (600,000) Lady Chatterly (120,000) Great Gatsby (50,000) Call of the Wild (24,000) x LIST BNC/COCA Fams 25k BNC/COCA nfl7 COCA Lems 25k BNC Flems 25k BNC Fams 20k