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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
done
Verb 24 -60.79 5.42 288.22 0.7 15 5,782,443 9.4
2. say said
say
says
Verb 12 -51.69 3.18 172.33 0.68 10 9,336,315 5.82
3. have 'd
've
had
has
have
having
Verb 187 -42.46 13.06 489.91 0.89 80 729,842 74.48
4. be 's
are
be
been
being
is
was
were
Verb 1,279 -33.52 19.69 869.08 0.9 100 151,537 358.72
5. go go
goes
going
Verb 21 -25.19 6.09 99.53 0.63 14 4,998,170 10.88
6. look looked
looking
Verb 6 -24.38 1.72 54.77 0.53 5 15,383,422 3.53
7. know knew
know
knowing
known
Verb 16 -22.87 5.25 79.06 0.72 14 5,092,267 10.67
8. come came
come
Verb 12 -21.72 4.31 65.71 0.73 12 6,521,178 8.34
9. make made
make
makes
making
Verb 25 -20.28 6.95 82.81 0.75 19 5,777,402 9.41
10. could could Verb 19 -17.8 6.15 63.17 0.77 17 5,130,765 10.59
11. want want
wanted
Verb 8 -15.83 3.28 38.29 0.66 8 13,723,549 3.96
12. must must Verb 6 -14.77 2.36 31.22 0.6 6 11,732,410 4.63
13. work work
worked
works
Verb 5 -14.44 1.75 28.12 0.48 4 20,329,805 2.67
14. will will
wo
Verb 53 -14.22 9.89 69.99 0.81 33 2,463,405 22.07
15. find find
finding
found
Verb 11 -14.1 4.53 38.19 0.68 10 14,585,546 3.73
16. should should Verb 14 -13.85 5.38 41.19 0.68 10 7,305,293 7.44
17. need need
needed
needs
Verb 6 -13.39 2.48 27.88 0.6 6 11,360,578 4.78
18. can ca
can
Verb 58 -13.13 10.27 64.73 0.79 34 3,180,234 17.09
19. would 'd
would
Verb 73 -12.09 11.11 62.04 0.88 52 1,419,927 38.28
20. provide provide
provided
providing
Verb 5 -11.31 2.05 21.21 0.56 5 14,864,238 3.66
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