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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...
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MI3
CHISQ
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
being
is
was
were
Verb 490 -43.03 16.32 942.49 0.89 92 460,145 118.14
2. say said
say
says
Verb 8 -36.5 2.2 98.37 0.61 7 19,647,649 2.77
3. do did
do
does
doing
done
Verb 26 -31.65 6.55 145.31 0.78 21 4,097,114 13.27
4. get get
getting
got
Verb 6 -28.09 1.53 64.42 0.6 6 15,192,221 3.58
5. know knew
know
known
Verb 5 -25.75 1 53.78 0.48 4 14,357,022 3.79
6. see see
seen
Verb 7 -21.91 2.4 52.53 0.58 6 13,543,160 4.01
7. have 've
had
has
have
having
Verb 180 -19.9 13.67 177.81 0.88 67 999,808 54.37
8. go go
goes
going
went
Verb 13 -18.42 4.79 56.61 0.74 13 7,249,611 7.5
9. come came
come
coming
Verb 8 -15.13 3.33 36.5 0.66 8 12,689,112 4.28
10. use use
used
uses
using
Verb 8 -12.2 3.59 28.3 0.66 8 12,664,052 4.29
11. take take
taken
taking
took
Verb 16 -11.24 6.07 33.64 0.77 16 4,975,308 10.93
12. tell tell
told
Verb 5 -9.27 2.28 16.81 0.48 4 36,850,934 1.48
13. can can Verb 37 -9.04 9.1 33.61 0.81 26 3,869,628 14.05
14. will will Verb 39 -8.35 9.35 30.48 0.81 27 3,361,071 16.17
15. would would Verb 47 -8.12 9.98 30.91 0.81 32 2,596,802 20.93
16. find find
finds
found
Verb 10 -7.47 4.89 16.75 0.7 10 8,278,348 6.57
17. work work
working
Verb 5 -7.47 2.53 12.93 0.56 5 20,986,881 2.59
18. want want
wanted
wanting
wants
Verb 9 -7.24 4.57 15.48 0.61 7 10,357,637 5.25
19. ask ask
asked
Verb 5 -6.83 2.62 11.57 0.56 5 17,025,362 3.19
20. make made
make
making
Verb 34 -6.79 9.06 21.68 0.81 26 3,711,907 14.64
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