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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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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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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. eat ate
eat
eaten
eating
eats
Verb 15 3.59 11.6 177.61 0.69 12 5,952,144 9.13
2. want want
wants
Verb 17 2.33 9.37 12.54 0.44 8 11,971,413 4.54
3. serve serve
served
serving
Verb 7 2.15 8.02 24.55 0.58 6 13,308,921 4.08
4. make made
make
makes
making
Verb 29 2.09 10.43 7.3 0.78 21 4,671,854 11.64
5. like like
liked
likes
Verb 7 1.36 6.65 3.78 0.53 5 26,684,897 2.04
6. turn Turn
turned
Verb 6 0.94 5.87 1.43 0.53 5 16,244,225 3.35
7. put put Verb 7 0.48 5.9 0.28 0.49 5 24,949,971 2.18
8. get get
getting
got
Verb 11 -2.11 6.21 2.78 0.55 7 15,538,035 3.5
9. take take
took
Verb 6 -3.54 3.88 5.2 0.6 6 13,429,274 4.05
10. can ca
can
Verb 6 -6.6 3.29 12.04 0.6 6 26,456,716 2.05
11. say said
say
Verb 8 -6.64 4.26 13.52 0.54 6 18,375,170 2.96
12. do did
do
does
Verb 12 -9.56 5.26 25.41 0.62 8 16,309,990 3.33
13. have 've
had
has
have
having
Verb 40 -10.69 9.22 47.37 0.77 26 3,520,657 15.44
14. be 'm
're
's
are
be
been
being
is
was
were
Verb 104 -23.86 11.66 255.38 0.84 52 1,610,920 33.74
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