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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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TTEST
MI3
CHISQ
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. need need
needed
needs 		Verb 14 2.86 9.7 34.8 0.71 12 7,328,891 7.42
2. work work
worked
working
works 		Verb 10 2.16 8.3 14.73 0.58 7 12,939,986 4.2
3. assist assist
assisted
assists 		Verb 5 2.14 9.22 109.65 0.48 4 41,110,547 1.32
4. should should Verb 13 2.05 8.61 9.83 0.58 8 11,096,133 4.9
5. hold held
hold
holding
holds 		Verb 5 1.17 5.72 2.91 0.48 4 39,372,394 1.38
6. give gave
give
gives
giving 		Verb 8 0.56 6.32 0.39 0.44 5 19,170,745 2.84
7. may may Verb 7 0.46 5.89 0.25 0.58 6 14,650,902 3.71
8. say said
say
saying
says 		Verb 18 0.41 8.49 0.19 0.1 3 20,758,309 2.62
9. will will Verb 9 -1.44 5.77 1.44 0.68 9 8,037,949 6.76
10. get get
getting
got 		Verb 7 -1.49 4.97 1.45 0.63 7 9,589,093 5.67
11. can can Verb 6 -3.05 4 4.23 0.53 5 14,301,453 3.8
12. do did
do
does
doing 		Verb 8 -6.86 4.22 14.37 0.54 6 18,128,839 3
13. have had
has
have
having 		Verb 28 -7.07 8.39 23.84 0.8 23 4,057,947 13.4
14. be 's
are
be
been
being
is
was
were 		Verb 78 -15.07 11.13 125.66 0.84 42 1,904,773 28.54
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