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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. do did
do
does 		Verb 13 -69.89 3.05 250.58 0.7 11 9,016,620 6.03
2. be 's
are
be
been
being
is
was
were 		Verb 534 -65.18 16.19 1,666.4 0.9 93 409,454 132.76
3. have 've
had
has
have
having 		Verb 84 -59.8 9.87 530.1 0.87 50 1,483,049 36.65
4. say said
say 		Verb 7 -56.82 1.12 147.49 0.49 5 25,561,664 2.13
5. can ca
can 		Verb 21 -23.81 6.15 93.55 0.76 17 5,729,540 9.49
6. would would Verb 26 -23.37 6.92 100.26 0.7 17 5,574,100 9.75
7. look look
looking 		Verb 5 -21.96 1.21 44.99 0.56 5 18,299,043 2.97
8. get get
getting
got 		Verb 18 -20.69 5.78 74.18 0.73 15 7,534,405 7.21
9. take take
taken
taking
took 		Verb 13 -20.3 4.67 63.08 0.7 11 7,577,692 7.17
10. come came
come
comes 		Verb 10 -19.56 3.8 53.9 0.66 9 11,326,039 4.8
11. could could Verb 13 -18.45 4.79 56.41 0.72 12 8,365,181 6.5
12. find find
finding
found 		Verb 6 -16.97 2.18 36.63 0.53 5 40,586,966 1.34
13. may may Verb 10 -14.55 4.16 38.15 0.7 10 13,368,624 4.07
14. must must Verb 5 -13.29 1.85 25.6 0.56 5 23,512,935 2.31
15. should should Verb 11 -13.03 4.62 34.76 0.68 10 9,958,369 5.46
16. give give
given
gives
giving 		Verb 15 -12.17 5.76 36.16 0.58 8 15,809,210 3.44
17. will will
wo 		Verb 47 -11.95 9.65 53.18 0.77 25 3,717,301 14.62
18. see saw
see
seeing
seen 		Verb 32 -10.59 8.48 39.65 0.81 25 4,038,408 13.46
19. work worked
works 		Verb 6 -10.09 2.81 19.99 0.29 3 22,333,521 2.43
20. make made
make
makes
making 		Verb 45 -8.81 9.77 34.14 0.82 30 3,002,806 18.1
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