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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 99 -18.48 11.74 179.02 0.88 56 1,455,710 37.34
2. do did
Do
does
doing
Verb 9 -9.25 4.31 21.89 0.64 8 10,860,644 5.01
3. have had
has
have
Verb 43 -6.81 9.83 25.35 0.79 27 4,093,164 13.28
4. would would Verb 9 -3.71 5.18 6.3 0.61 7 18,148,123 3
5. see saw
see
seen
sees
Verb 6 -2.75 4.08 3.62 0.6 6 15,312,181 3.55
6. could could Verb 6 -2.05 4.29 2.32 0.6 6 20,868,620 2.6
7. give gave
give
given
Verb 5 -1.62 3.86 1.53 0.56 5 13,153,999 4.13
8. say said
say
saying
Verb 17 -1.17 7.82 1.09 0.68 13 6,648,813 8.18
9. know knew
know
known
Verb 10 -0.72 6.35 0.43 0.7 10 7,476,500 7.27
10. take take
taken
takes
taking
took
Verb 11 -0.29 6.8 0.08 0.57 8 9,710,488 5.6
11. want wanted
wants
Verb 6 -0.01 5.16 0 0.6 6 11,125,780 4.89
12. ask asked
asking
Verb 5 0.46 4.97 0.26 0.56 5 19,248,720 2.82
13. find Find
found
Verb 8 0.5 6.28 0.3 0.66 8 15,528,842 3.5
14. call call
called
Verb 9 1.81 7.68 8.35 0.55 6 14,478,420 3.75
15. marry married
marry
Verb 6 2.24 8.72 59.06 0.6 6 16,714,819 3.25
16. name named Verb 6 2.28 9.04 76.28 0.6 6 12,181,633 4.46
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