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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
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
having 		Verb 578 16.54 20.03 976.77 0.73 83 719,758 75.52
2. pay paid
pay
paying
pays 		Verb 50 6.32 14.53 378.11 0.81 30 2,888,179 18.82
3. must must Verb 46 5.32 13.26 132.16 0.7 22 4,735,201 11.48
4. shall shall Verb 19 3.71 11.25 93.52 0.6 9 9,756,355 5.57
5. should should Verb 31 2.79 10.91 15.73 0.75 20 5,015,179 10.84
6. show show
showed 		Verb 5 -1.48 3.91 1.32 0.56 5 17,318,828 3.14
7. may may Verb 11 -1.5 6.38 1.57 0.26 4 19,709,272 2.76
8. will will Verb 19 -4.08 7.54 8.79 0.7 14 11,274,295 4.82
9. give give
given
gives 		Verb 6 -4.79 3.61 7.85 0.53 5 20,615,973 2.64
10. take take
takes
took 		Verb 6 -7.6 3.13 14.27 0.53 5 18,091,212 3
11. make made
make 		Verb 6 -9.68 2.86 19.25 0.43 4 18,293,874 2.97
12. can can Verb 7 -11.39 3.21 25 0.58 6 10,780,573 5.04
13. would would Verb 5 -16.3 1.59 32.82 0.56 5 13,126,024 4.14
14. do did
do
does
done 		Verb 8 -23.91 2.76 63.23 0.57 6 14,440,845 3.76
15. be 's
am
are
be
been
being
is
was
were 		Verb 113 -44.15 11.27 566.68 0.85 59 1,416,844 38.37
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