• 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 offeror  + Verb
Show  entries
 Node frequency:  378
Filter
entries
# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
being
is
was 		Verb 41 -13.22 9.1 85.41 0.09 3 18,171,817 2.99
2. have has
have 		Verb 15 -6.18 6.44 16.4 -0.01 1 54,314,095 1
3. make made
make
makes 		Verb 7 0.22 5.74 0.06 0.23 2 42,142,843 1.29
4. can can Verb 9 0.33 6.51 0.12 0.31 4 26,737,677 2.03
5. should should Verb 7 1.38 6.68 4.05 -0.01 1 54,345,276 1
6. need need Verb 7 1.9 7.45 12.94 -0.01 1 54,337,672 1
7. wish wish
wishes
wishing 		Verb 5 2.01 7.96 40.46 -0.01 1 54,346,162 1
8. provide provide
provided
provides 		Verb 7 2.07 7.8 19.52 0.13 2 42,152,648 1.29
9. may may Verb 10 2.07 8.18 12.56 0.26 3 22,189,664 2.45
10. require require
required
requires 		Verb 6 2.1 7.97 30.73 0.15 2 29,367,246 1.85
11. receive receive
received
receives
receiving 		Verb 7 2.36 8.85 52.78 -0.01 1 54,351,751 1
12. must must Verb 12 2.85 9.66 45.73 0.25 2 29,377,197 1.85
13. will will Verb 26 3.54 11.11 41.98 0.03 2 29,371,653 1.85
Page1from1
First Previous Next Last