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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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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 825 -167.45 16.6 6,157.83 0.91 97 228,006 238.41
2. have 'd
've
had
has
have
having
Verb 138 -136.86 10.56 1,652.95 0.89 75 841,011 64.64
3. do did
do
does
doing
done
Verb 51 -95.34 7.5 662.93 0.85 39 1,853,190 29.33
4. see saw
see
seeing
seen
sees
Verb 9 -81.6 1.52 240.03 0.68 9 7,150,628 7.6
5. say said
say
saying
says
Verb 29 -75.3 5.81 388.93 0.78 20 4,472,711 12.15
6. make made
make
makes
making
Verb 14 -73.09 3.25 265.03 0.71 12 10,981,431 4.95
7. come come
comes
coming
Verb 8 -67.33 1.37 185.17 0.66 8 12,771,359 4.26
8. go go
goes
going
gone
went
Verb 20 -64.9 4.69 276.98 0.75 16 6,284,857 8.65
9. think think
thought
Verb 10 -59.15 2.34 179.9 0.66 9 16,760,737 3.24
10. get get
gets
getting
got
Verb 25 -53.44 5.74 248.97 0.76 18 6,476,594 8.39
11. know knew
know
Knowing
known
knows
Verb 24 -45 5.82 202 0.78 19 5,560,924 9.78
12. want want
wanted
Verb 7 -42.73 1.51 107.36 0.63 7 10,218,867 5.32
13. would would Verb 65 -41.67 9.42 288.72 0.83 38 2,656,303 20.46
14. could could Verb 26 -37.98 6.32 173.2 0.8 24 4,475,118 12.15
15. find find
finding
found
Verb 11 -36.3 3.34 111.32 0.68 10 8,642,535 6.29
16. take take
taken
takes
taking
took
Verb 38 -32.46 7.85 170.77 0.8 26 3,370,030 16.13
17. can can Verb 78 -31.86 10.37 225.41 0.87 51 1,700,111 31.97
18. seem seemed
seems
Verb 6 -31.01 1.4 70.85 0.53 5 21,118,977 2.57
19. will will Verb 83 -29.96 10.65 214.12 0.78 38 2,872,164 18.93
20. might might Verb 7 -28 2.08 68.11 0.63 7 15,292,255 3.55
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