• 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 barrister  + Verb
Show  entries
 Node frequency:  794
Filter
entries
# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. become became
become 		Verb 9 1.58 7.42 5.35 0.52 5 18,275,268 2.97
2. appear appear
appearing 		Verb 5 1.38 6.02 4.93 0.48 4 25,992,892 2.09
3. tell telling
told 		Verb 6 0.53 5.52 0.36 0.6 6 28,132,200 1.93
4. may may Verb 8 0.27 6.14 0.08 0.54 5 30,684,523 1.77
5. come came
come
comes
coming 		Verb 6 -1.34 4.54 1.18 0.6 6 15,909,699 3.42
6. could could Verb 6 -1.75 4.39 1.81 0.6 6 13,088,551 4.15
7. say said
say
says 		Verb 13 -2.04 6.75 2.73 0.7 11 9,579,713 5.67
8. would would Verb 5 -6.16 2.73 10.36 0.56 5 13,690,149 3.97
9. do did
do
done 		Verb 9 -8.43 4.41 19.49 0.47 5 36,972,932 1.47
10. have had
has
have
having 		Verb 29 -9.8 8.22 37.97 0.69 14 6,192,724 8.78
11. be 're
are
be
been
being
is
was
were 		Verb 104 -15.68 12.06 145.15 0.77 39 2,070,761 26.25
Page1from1
First Previous Next Last