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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
're
's
am
are
be
been
being
is
was
were 		Verb 553 -77.73 16.12 2,103.23 0.89 90 445,735 121.95
2. have 'd
've
had
has
have
having 		Verb 169 -43.74 12.68 489 0.88 66 1,010,237 53.81
3. can ca
can 		Verb 14 -36.85 4.18 127.94 0.71 12 7,996,021 6.8
4. do did
do
does
doing
done 		Verb 65 -30.3 9.79 201.74 0.79 31 3,299,506 16.48
5. say said
say
saying
says 		Verb 28 -29.41 6.9 135.42 0.72 17 6,163,626 8.82
6. would 'd
would 		Verb 29 -26.08 7.17 119.28 0.81 25 3,384,067 16.06
7. think think
thought 		Verb 9 -24.76 3.13 67.06 0.61 7 14,530,135 3.74
8. should should Verb 6 -23.37 1.77 52.31 0.53 5 14,403,982 3.77
9. look look
looking 		Verb 6 -23.33 1.77 52.2 0.53 5 17,573,724 3.09
10. know knew
know
knowing
known
knows 		Verb 21 -17.96 6.49 66.56 0.66 13 7,812,300 6.96
11. get Get
getting
got 		Verb 29 -17.54 7.63 73.59 0.76 20 4,738,058 11.47
12. use use
used 		Verb 12 -16.79 4.62 48.71 0.7 11 6,869,981 7.91
13. make made
make
makes
making 		Verb 30 -16.7 7.8 70.12 0.8 24 4,173,489 13.02
14. could could Verb 20 -16.28 6.43 57.9 0.64 11 14,588,428 3.73
15. may may Verb 12 -15.4 4.72 43.98 0.73 12 8,832,002 6.15
16. find find
finding
found 		Verb 10 -14.39 4.17 37.63 0.66 9 10,589,546 5.13
17. take take
taken
takes
taking
took 		Verb 29 -13.3 7.92 51.72 0.81 25 4,497,402 12.09
18. might might Verb 5 -13.09 1.87 25.13 0.56 5 18,343,623 2.96
19. 'll 'll Verb 7 -12.52 3.1 27.52 0.53 5 12,364,356 4.4
20. go go
goes
going
gone
went 		Verb 48 -11.99 9.72 53.68 0.8 32 3,480,150 15.62
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