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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
says 		Verb 38 3.63 11.78 32.96 0.74 18 6,140,656 8.85
2. staying staying Verb 5 2.22 12.1 871.08 0.28 2 50,203,452 1.08
3. win won Verb 6 1.98 7.55 20.49 0.15 2 45,946,826 1.18
4. tell tell
told 		Verb 6 0.98 5.9 1.59 0.29 3 26,231,029 2.07
5. ask ask
asked 		Verb 5 0.96 5.46 1.64 0.56 5 18,426,222 2.95
6. look look
looked
looks 		Verb 5 -0.16 4.54 0.03 0.56 5 17,320,065 3.14
7. come came Verb 6 -0.46 4.92 0.18 0.43 4 41,467,438 1.31
8. go go
going
gone
went 		Verb 8 -1.11 5.52 0.9 0.51 5 17,529,942 3.1
9. see saw
see
seen
sees 		Verb 6 -1.27 4.57 1.08 0.53 5 15,677,947 3.47
10. know knew
know
known 		Verb 5 -1.69 3.83 1.65 0.48 4 17,251,393 3.15
11. will will Verb 6 -2.77 4.08 3.68 0.6 6 20,188,856 2.69
12. would would Verb 7 -2.8 4.57 3.9 0.53 5 17,884,559 3.04
13. have 've
had
has
have
having 		Verb 38 -4.01 9.77 10.86 0.7 19 4,868,007 11.17
14. do did
does
doing
done 		Verb 6 -8.28 3.04 16.37 0.43 4 26,098,547 2.08
15. be 's
are
be
been
is
was
were 		Verb 69 -16.06 10.66 131.73 0.77 34 3,108,961 17.48
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