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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
were 		Verb 255 -31.07 14.43 491.03 0.68 47 1,638,628 33.17
2. will will Verb 8 -13.95 3.43 33.52 0.54 5 15,828,680 3.43
3. have 'd
've
had
has
Have
Having 		Verb 111 -11.56 12.52 71.01 0.72 34 2,839,987 19.14
4. make made
make 		Verb 9 -9.78 4.25 22.83 0.61 7 9,116,498 5.96
5. do did
do
does
doing
done 		Verb 40 -9.1 9.36 35.51 0.62 12 8,757,085 6.21
6. know knew
know
known
knows 		Verb 10 -7.14 4.94 15.89 0.61 7 15,381,567 3.53
7. would 'd
would 		Verb 24 -6.01 8.01 16.63 0.59 9 11,378,191 4.78
8. get get
getting
got 		Verb 17 -5.33 6.98 12.59 0.48 7 15,491,958 3.51
9. use used
using 		Verb 9 -4.38 5.04 7.87 0.55 6 10,102,182 5.38
10. could could Verb 14 -4.08 6.55 8.08 0.43 5 23,478,929 2.32
11. become became
become 		Verb 5 -3.17 3.37 4.18 0.48 4 25,394,560 2.14
12. think think
thinking
thought 		Verb 16 -2.57 7.28 4.06 0.55 6 29,344,364 1.85
13. give gave
give
given 		Verb 14 -2.37 6.91 3.49 0.47 5 15,624,835 3.48
14. put put
putting 		Verb 7 -2.04 4.79 2.36 0.45 4 19,432,736 2.8
15. find find
found 		Verb 11 -1.96 6.25 2.44 0.66 9 12,234,781 4.44
16. might might Verb 6 -1.96 4.32 2.15 0.43 4 23,452,519 2.32
17. want want
wanted
wants 		Verb 10 -1.9 5.97 2.27 0.58 7 17,358,345 3.13
18. come came
come
coming 		Verb 19 -1.71 8.02 2.13 0.63 10 10,089,284 5.39
19. take take
taken
taking
took 		Verb 26 -1.13 9.11 1.05 0.55 10 7,770,182 7
20. write write
written
wrote 		Verb 5 -0.93 4.14 0.61 0.48 4 24,878,526 2.18
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