• 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 GPs  + Verb
Show  entries
 Node frequency:  330
Filter
entries
# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. refer refer
referred
referring
Verb 14 3.64 12.88 511 0.4 6 11,958,099 4.55
2. will will Verb 17 2.44 9.47 14.95 0.66 11 8,788,417 6.19
3. prescribe prescribed
prescribing
Verb 6 2.44 12.73 1,116.61 0.29 3 39,513,407 1.38
4. must must Verb 5 1.4 6.07 5.29 0.56 5 18,757,463 2.9
5. use used
using
Verb 5 0.79 5.27 0.98 0.34 3 35,352,354 1.54
6. give gave
give
giving
Verb 5 0.74 5.23 0.83 0.56 5 29,707,724 1.83
7. could could Verb 6 0.7 5.66 0.7 0.6 6 16,755,485 3.24
8. can can Verb 9 0.67 6.7 0.59 0.55 6 11,211,729 4.85
9. make made
make
making
Verb 5 -0.27 4.48 0.06 0.56 5 12,425,754 4.37
10. have had
has
have
Verb 15 -4.9 6.63 11.82 0.69 11 10,080,454 5.39
11. be are
be
been
is
was
were
Verb 42 -10.44 9.4 62.57 0.78 23 3,759,063 14.46
Page1from1
First Previous Next Last