• 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 i.  + Verb
Show  entries
 Node frequency:  1035
Filter
entries
# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. figure Figure Verb 7 2.6 11.58 423.57 -0.01 1 54,349,020 1
2. say said
say
says
Verb 33 1.13 10.4 1.62 0.44 15 5,737,452 9.47
3. must must Verb 5 -0.38 4.42 0.13 0.56 5 17,145,574 3.17
4. can ca
can
Verb 18 -0.93 8.05 0.72 0.73 15 6,027,671 9.02
5. will will
wo
Verb 10 -3.71 5.52 6.47 0.61 8 9,085,859 5.98
6. could could Verb 5 -3.76 3.22 5.34 0.56 5 27,015,888 2.01
7. go go
went
Verb 8 -3.87 4.76 6.44 0.66 8 9,623,145 5.65
8. would 'd
would
Verb 11 -4.06 5.76 7.6 0.71 11 6,891,622 7.89
9. do did
do
does
Verb 20 -5.52 7.48 14.25 0.79 19 5,235,163 10.38
10. get Get
gets
got
Verb 5 -5.74 2.81 9.4 0.4 3 24,203,037 2.25
11. have 've
had
has
have
Verb 15 -23.65 4.98 87.74 0.74 14 9,089,614 5.98
12. be 'm
're
's
am
are
be
been
is
was
were
Verb 91 -26.52 11.1 278.76 0.85 50 1,451,535 37.45
Page1from1
First Previous Next Last