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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
CHISQ
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
saying
says
Verb 6 -45.27 0.89 107.99 0.6 6 25,143,428 2.16
2. be 's
are
be
been
being
is
was
were
Verb 553 -40.94 16.77 916.21 0.91 92 382,486 142.12
3. do did
do
does
doing
done
Verb 20 -39.55 5.34 166.14 0.73 15 5,034,525 10.8
4. have 've
had
has
have
having
Verb 108 -34.8 11.39 310.53 0.89 63 1,267,306 42.89
5. go go
goes
going
Verb 6 -31.62 1.37 73.25 0.6 6 14,025,686 3.88
6. take take
taken
takes
taking
took
Verb 9 -18.35 3.51 48 0.68 9 13,983,569 3.89
7. could could Verb 9 -16.69 3.63 43.03 0.64 8 9,601,247 5.66
8. see saw
see
seeing
seen
Verb 12 -16.24 4.66 47.1 0.64 9 10,147,258 5.36
9. come came
come
comes
coming
Verb 8 -16.04 3.26 39.05 0.66 8 8,797,978 6.18
10. would would Verb 28 -15.09 7.67 60.58 0.78 21 4,634,379 11.73
11. can can Verb 25 -14.34 7.34 54.31 0.76 19 4,612,815 11.78
12. will will Verb 26 -13.68 7.52 51.93 0.78 21 3,726,167 14.59
13. give gave
give
given
gives
giving
Verb 11 -10.61 4.85 27.08 0.71 11 11,591,897 4.69
14. should should Verb 9 -10.42 4.18 24.5 0.64 8 10,085,823 5.39
15. make made
make
makes
making
Verb 28 -9.32 8.15 32.03 0.8 23 3,343,984 16.26
16. may may Verb 12 -8.54 5.38 21.26 0.68 10 10,793,341 5.04
17. work work
working
Verb 6 -6.86 3.24 12.46 0.53 5 12,715,586 4.28
18. seem seem
seemed
seems
Verb 6 -6.55 3.29 11.74 0.6 6 15,096,229 3.6
19. must must Verb 8 -6.29 4.31 12.35 0.61 7 13,307,474 4.08
20. become became
become
becomes
becoming
Verb 8 -5.79 4.39 11.07 0.66 8 11,776,588 4.62
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