• Home
  • Browser
  • Colosaurus
  • Proof
  • Help
HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
  • OPTIONS
Part of speech:
Collocate's part of speech:
excelSpreadsheet
Visualization
A more
TTEST
MI3
CHISQ
JD
R
AWT
fAWT
Display collocates 1 - 0  from 0
Your query has fetched 0  combinations of scot  + Verb
Show  entries
 Node frequency:  843
Filter
entries
# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. face face
faces
facing 		Verb 6 2.01 7.64 22.3 0.43 4 23,174,574 2.35
2. become became
become
becoming 		Verb 5 0.22 4.79 0.05 0.56 5 16,741,971 3.25
3. should should Verb 5 -1.09 4.07 0.81 0.56 5 16,995,734 3.2
4. will will Verb 11 -2.02 6.23 2.59 0.34 5 32,934,234 1.65
5. take take
taken
took 		Verb 6 -2.38 4.19 2.92 0.53 5 18,179,597 2.99
6. make made
make
makes
making 		Verb 7 -2.76 4.58 3.79 0.58 6 20,894,322 2.6
7. get get
got 		Verb 5 -4.26 3.1 6.36 0.34 3 21,393,974 2.54
8. have 've
had
has
have
having 		Verb 50 -5.21 10.49 17.41 0.64 25 3,578,820 15.19
9. would would Verb 6 -5.69 3.44 9.98 0.6 6 11,024,254 4.93
10. say said
says 		Verb 6 -6.37 3.32 11.57 0.53 5 20,187,530 2.69
11. do did
do 		Verb 6 -12.41 2.57 26.53 0.43 4 16,427,206 3.31
12. be 'm
's
are
be
been
being
is
was
were 		Verb 101 -17.83 11.84 171.68 0.77 49 1,807,307 30.08
Page1from1
First Previous Next Last