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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 209 -50.98 13.24 860.2 0.87 66 946,488 57.43
2. do did
do
does
doing
done
Verb 11 -33.73 3.44 106.48 0.68 10 7,510,242 7.24
3. have had
has
have
having
Verb 99 -19.51 11.69 143.32 0.87 52 1,441,235 37.72
4. get get
getting
got
Verb 7 -15.9 2.81 36.7 0.49 5 23,365,520 2.33
5. go go
goes
went
Verb 8 -15.59 3.3 38.02 0.61 7 9,843,714 5.52
6. know knew
know
known
knows
Verb 6 -14.31 2.4 30.36 0.43 4 13,911,716 3.91
7. would 'd
would
Verb 21 -10.11 7.1 32.65 0.75 16 5,113,051 10.63
8. come came
come
coming
Verb 8 -8.95 3.94 19.47 0.61 7 9,353,112 5.81
9. make made
make
makes
making
Verb 17 -7.58 6.67 20.61 0.75 15 6,271,977 8.67
10. look LOOK
looked
looking
Verb 7 -6.84 3.77 13.16 0.63 7 15,738,999 3.45
11. could could Verb 13 -6.62 5.9 15.66 0.66 10 11,363,322 4.78
12. can ca
can
Verb 27 -6.42 8.35 18.82 0.65 15 6,415,687 8.47
13. may may Verb 9 -5.65 4.81 11.19 0.64 8 14,546,154 3.74
14. will will
wo
Verb 31 -5.17 8.96 14.15 0.66 16 7,512,114 7.24
15. see saw
see
seeing
seen
SEES
Verb 20 -5.06 7.55 12.18 0.71 15 6,482,540 8.39
16. give gave
give
given
gives
Verb 12 -4.85 5.91 9.92 0.73 12 7,391,039 7.35
17. become became
become
Verb 5 -4.57 3.04 6.9 0.56 5 39,407,591 1.38
18. need need
needed
Verb 5 -4.39 3.08 6.53 0.48 4 20,826,954 2.61
19. take take
taken
takes
taking
took
Verb 23 -3.54 8.25 7.31 0.75 18 4,317,278 12.59
20. must must Verb 7 -3.44 4.41 5.18 0.63 7 11,051,517 4.92
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