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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 23 -31.76 6.12 138.36 0.65 12 6,364,692 8.54
2. have had
has
have
having 		Verb 103 -31.06 11.35 264.95 0.69 26 4,010,163 13.56
3. be 're
's
are
be
been
being
is
was
were 		Verb 648 -27.57 17.62 546.76 0.71 61 1,292,947 42.04
4. would would Verb 14 -21.93 4.84 71.82 0.69 11 8,425,229 6.45
5. get get
getting
got 		Verb 8 -21.92 2.87 55.9 0.51 5 18,927,409 2.87
6. take take
taken
takes
taking 		Verb 6 -20.83 1.92 46.33 0.53 5 15,791,831 3.44
7. know know
known 		Verb 7 -19.49 2.55 46.08 0.58 6 12,595,579 4.32
8. will will Verb 16 -17.32 5.59 57.51 0.67 11 16,921,463 3.21
9. see see Verb 9 -17.27 3.58 44.82 0.38 4 22,337,373 2.43
10. give gave
given
gives
giving 		Verb 6 -14.34 2.39 30.31 0.53 5 22,989,205 2.36
11. should should Verb 8 -9.85 3.84 21.85 0.66 8 11,182,381 4.86
12. could could Verb 18 -8.16 6.79 23.08 0.68 12 7,023,735 7.74
13. can can Verb 37 -8.07 9.2 28.61 0.68 15 5,349,520 10.16
14. make made
make
makes
making 		Verb 36 -5.48 9.4 15.96 0.67 20 4,501,754 12.08
15. find found Verb 14 -4.67 6.45 9.78 0.71 12 6,962,370 7.81
16. need need
needed 		Verb 11 -3.06 5.98 4.89 0.68 10 11,704,257 4.64
17. provide provide
provided
provides
providing 		Verb 8 -3 4.96 4.4 0.61 7 13,581,077 4
18. use use
used
using 		Verb 26 -2.7 8.79 4.82 0.71 15 6,116,623 8.89
19. might might Verb 11 -2.54 6.1 3.67 0.53 6 10,383,775 5.24
20. meet meet
met 		Verb 5 -2.28 3.63 2.58 0.17 2 31,607,801 1.72
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