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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:
Collocate's part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were 		Verb 357 -46.39 15.17 933.17 0.89 78 705,614 77.04
2. do did
do
does 		Verb 12 -42.79 3.43 143.35 0.73 12 9,263,164 5.87
3. say say
saying
says 		Verb 5 -40.3 0.39 87.65 0.56 5 20,424,700 2.66
4. have 've
had
has
have 		Verb 75 -35.47 10.11 275.32 0.87 49 1,914,266 28.4
5. get get
getting
got 		Verb 5 -26.37 0.97 55.33 0.56 5 15,077,981 3.61
6. would would Verb 16 -17.94 5.54 60.13 0.72 13 6,803,071 7.99
7. could could Verb 7 -15.53 2.83 35.57 0.63 7 13,285,558 4.09
8. come came
come
comes 		Verb 6 -15.28 2.31 32.66 0.6 6 29,506,542 1.84
9. will will Verb 17 -14.78 5.98 48.68 0.76 16 5,923,066 9.18
10. take take
taken
takes
Taking 		Verb 11 -12.4 4.67 32.91 0.68 10 8,758,079 6.21
11. look look
looking
looks 		Verb 5 -12.39 1.93 23.69 0.56 5 13,644,470 3.98
12. make made
make
makes
making 		Verb 17 -11.14 6.29 34.12 0.75 15 9,554,028 5.69
13. find find
finds
found 		Verb 6 -9.29 2.91 18.16 0.6 6 17,486,650 3.11
14. use use
used
uses
using 		Verb 9 -9.12 4.33 20.78 0.68 9 10,570,031 5.14
15. can can Verb 31 -8.56 8.56 29.53 0.79 23 3,633,526 14.96
16. see see
seeing
seen
sees 		Verb 22 -7.15 7.58 20.58 0.75 17 5,248,796 10.36
17. should should Verb 12 -6 5.72 13.29 0.7 11 7,288,303 7.46
18. become became
become
becomes
becoming 		Verb 7 -4.86 4.11 8.36 0.63 7 11,658,250 4.66
19. may may Verb 16 -4.46 6.92 9.51 0.75 15 7,074,775 7.68
20. give gave
give
given
gives
giving 		Verb 19 -4.26 7.51 9.28 0.77 17 5,660,481 9.6
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