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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 389 -70.49 15.01 1,627.86 0.91 86 489,383 111.08
2. have had
has
have
having
Verb 113 -41.23 11.35 388.61 0.83 54 1,362,049 39.91
3. can ca
can
Verb 12 -29.3 3.93 92.76 0.68 10 9,964,214 5.46
4. could could Verb 6 -25.87 1.64 58.66 0.53 5 19,210,989 2.83
5. will will Verb 15 -25.15 4.91 86.26 0.69 11 8,735,523 6.22
6. know knew
know
known
knows
Verb 8 -24.46 2.73 62.96 0.66 8 10,176,600 5.34
7. make made
make
makes
making
Verb 11 -24.06 3.87 71.36 0.68 10 9,727,702 5.59
8. come came
comes
coming
Verb 6 -23.13 1.79 51.86 0.6 6 12,371,063 4.39
9. would 'd
would
Verb 21 -23.05 6.19 90.27 0.78 19 4,812,485 11.3
10. see saw
see
seen
sees
Verb 10 -22.18 3.64 62.35 0.7 10 10,171,622 5.34
11. take take
takes
took
Verb 9 -22.06 3.28 59.11 0.68 9 7,744,811 7.02
12. say said
say
saying
says
Verb 26 -21.81 7 92.54 0.66 15 5,754,720 9.45
13. go go
goes
going
went
Verb 15 -21.42 5.11 71.6 0.74 14 5,600,811 9.71
14. use use
used
uses
Verb 5 -21.21 1.25 43.35 0.34 3 22,515,897 2.41
15. may may Verb 5 -19.6 1.36 39.73 0.56 5 16,886,215 3.22
16. give gave
give
gives
Verb 8 -16.34 3.24 39.8 0.54 6 18,625,327 2.92
17. find find
found
Verb 7 -13.04 3.05 28.91 0.49 5 16,915,992 3.21
18. turn turn
turned
turning
Verb 5 -6.25 2.72 10.33 0.56 5 15,377,935 3.53
19. start started
starting
Verb 5 -5.53 2.85 8.84 0.56 5 16,863,277 3.22
20. seem seem
seemed
seems
Verb 10 -5.02 5.27 9.8 0.7 10 10,385,912 5.23
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