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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:
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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. bring bring
brought 		Verb 7 0.61 5.99 0.48 0.38 4 19,452,607 2.79
2. say said
say
says 		Verb 43 0.41 10.95 0.19 0.16 7 14,760,786 3.68
3. ask asked Verb 6 -0.55 4.88 0.25 0.15 2 28,590,565 1.9
4. tell tell
told 		Verb 6 -1.36 4.53 1.19 0.29 3 48,425,996 1.12
5. know knew
know 		Verb 13 -2.68 6.6 4.19 0.14 3 29,370,794 1.85
6. look look
looked 		Verb 6 -3.21 3.96 4.5 0.43 4 16,612,452 3.27
7. use used Verb 5 -4.65 3.02 7.09 0.48 4 16,993,700 3.2
8. think think
thinking
thinks
thought 		Verb 6 -5.01 3.56 8.34 0.29 3 26,650,460 2.04
9. would would Verb 15 -5.73 6.5 13.56 0.25 5 13,784,999 3.94
10. come came
Come
comes
coming 		Verb 5 -5.99 2.76 9.88 0.56 5 21,344,983 2.55
11. see saw
see
sees 		Verb 6 -7.16 3.2 13.26 0.43 4 28,756,457 1.89
12. go go
going
went 		Verb 8 -7.34 4.15 15.28 0.61 7 13,607,044 3.99
13. make made
make
makes 		Verb 7 -7.43 3.69 14.75 0.49 5 25,035,359 2.17
14. have had
has
have
having 		Verb 65 -12.02 10.73 64.65 0.43 24 4,317,998 12.59
15. do did
do 		Verb 14 -14.4 5.34 44.69 0.38 5 13,086,673 4.15
16. be 'm
's
are
be
been
being
is
was
were 		Verb 132 -33.99 12.1 437.22 0.66 46 1,975,376 27.52
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