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- Input Mode is
MODIFY: VP FOR       PROFILED BY IN UNIT & PROPERS & COMPOUNDS Change=Submit
User Re-Cats + Propers (Off-List Mid-Sentence Capped Words) => 1k: (-1 types / 0 tokens):

Text Pre-Processing Notes: In the output text, punctuation is eliminated; all figures (1, 20, etc) are replaced by the word number; contractions are replaced by constituent words (won't => will not); type-token ratio is calculated using these modified constituents; and in the 1k sub-analysis content + function words may sum to less than total (depending on user treatment of proper nouns as well as program decision to class numbers as 1k although not contained in 1k list); single letters are eliminated as words except for 'a', 'I', and in French 'y,' 'a,' and 'à'.

 


Freq.
Level		 Families (%) Types (%) Tokens (%) Cumul. token
(%)
K-1 : 0 0 0 0.0
K-2 :
K-3 :
K-4 :
K-5 :
K-6 :
K-7 :
K-8 :
K-9 :
K-10 :
K-11 :
K-12 :
K-13 :
K-14 :
K-15 :
K-16 :
K-17 :
K-18 :
K-19 :
K-20 :
K-21 :
K-22 :
K-23 :
K-24 :
K-25 :
Off-List: ?? 0 (0.00) 0 (0.00)

Total (unrounded)
0+?
1 (100)
1 (100)
≈100.00
RELATED RATIOS & INDICES
Pertaining to whole text
Words in text (tokens): 1
Different words (types): 1
Type-token ratio (TTR): 1.00
Tokens per type: 1.00
Lexical density
    (content [1]/total [1]):
1.00

Pertaining to onlist only
Tokens: 1
Types: 1
Families: 0
Tokens per Family : 0
Family/token ratio (FTR) : 0
Types per Family : 0
Singletons ratio
   Fams(n=1)[0] / total [0]
Horizontal profile line for paste to Excel sheet to record comparative coverages. To compare several texts, track learner writing over time, sequence texts by lexis (TIP, sort spreadsheet by K-1% to get more basic lexis first), etc. Note that comparison requires use of the same framework (BNC/COCA, NFL7, etc.)
 pop-out (then Select All, Copy => easy Paste to Excel row)     
VP-1-word for   Thesaurus:
Edit-to-a-Profile
Editing text
[Grab lower-right corners of left text to resize/align with right text]

EXISTING WORDS RECATEGORIZED (Add/delete as needed)

NEW RECATS - Dbl-Click or type to add words (Tokens, not Families)
Profile summary
K                #     cumul% 
K-1 0  0.0
OFF 0       ≈100
 

REPEATED
may be inferrable
(remove with care when simplifying)

+ UNREPEATED
less likely to
be inferrable


© Lextutor

 Profiled text     Edit, Check with , and    

Alt-Dbl-Click words to send to VP-1 and Thesaurus Boxes
(numbers indicate k-level)

 

 

 

Families List [↑]
Family [number of tokens]

BNC-COCA-K1 Families: [ fams 0 : types 0 : tokens 0 ]

 

BNC-COCA-K2 Families: [ fams : types : tokens ]

 

BNC-COCA-K3 Families: [ fams : types : tokens ]

 

BNC-COCA-K4 Families: [ fams : types : tokens ]

 

BNC-COCA-K5 Families: [ fams : types : tokens ]

 

BNC-COCA-K6 Families: [ fams : types : tokens ]

 

BNC-COCA-K7 Families: [ fams : types : tokens ]

 

BNC-COCA-K8 Families: [ fams : types : tokens ]

 

BNC-COCA-K9 Families: [ fams : types : tokens ]

 

BNC-COCA-K10 Families: [ fams : types : tokens ]

 

BNC-COCA-K11 Families: [ fams : types : tokens ]

 

BNC-COCA-K12 Families: [ fams : types : tokens ]

 

BNC-COCA-K13 Families: [ fams : types : tokens ]

 

BNC-COCA-K14 Families: [ fams : types : tokens ]

 

BNC-COCA-K15 Families: [ fams : types : tokens ]

 

BNC-COCA-K16 Families: [ fams : types : tokens ]

 

BNC-COCA-K17 Families: [ fams : types : tokens ]

 

BNC-COCA-K18 Families: [ fams : types : tokens ]

 

BNC-COCA-K19 Families: [ fams : types : tokens ]

 

BNC-COCA-K20 Families: [ fams : types : tokens ]

 

BNC-COCA-K21 Families: [ fams : types : tokens ]

 

BNC-COCA-K22 Families: [ fams : types : tokens ]

 

BNC-COCA-K23 Families: [ fams : types : tokens ]

 

BNC-COCA-K24 Families: [ fams : types : tokens ]

 

BNC-COCA-K25 Families: [ fams : types : tokens ]

 

OFFLIST: [?: types 0 : tokens 0]

 

  VP-Compleat from Lextutor. Processing time: 0.18 CPU seconds.

 

 

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