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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
says 		Verb 168 9.9 16.86 425.09 0.75 34 2,890,855 18.8
2. add added
adds 		Verb 19 3.59 10.99 72.86 0.72 14 8,339,132 6.52
3. explain explained
explains 		Verb 8 2 7.78 13.76 0.54 6 12,065,933 4.51
4. claim claimed
claims 		Verb 7 1.76 7.2 9.33 0.45 4 22,506,153 2.42
5. note noted
notes 		Verb 5 1.54 6.34 7.71 0.56 5 23,448,283 2.32
6. believe believed
believes 		Verb 6 0.73 5.68 0.75 0.53 5 15,375,663 3.54
7. tell Tell
tells
told 		Verb 10 0.26 6.77 0.07 0.66 9 10,156,490 5.35
8. write write
writes
wrote 		Verb 5 0.07 4.69 0 0.56 5 15,352,033 3.54
9. ask ask
asked
asking 		Verb 7 -0.09 5.57 0.01 0.63 7 10,944,913 4.97
10. call called
calls 		Verb 6 -0.2 5.06 0.04 0.6 6 12,287,526 4.42
11. work worked
works 		Verb 6 -0.72 4.8 0.4 0.25 2 33,660,069 1.61
12. find find
finds
found 		Verb 6 -2.45 4.17 3.03 0.6 6 18,560,701 2.93
13. should should Verb 6 -3.14 3.98 4.36 0.6 6 13,796,932 3.94
14. use use
uses
Using 		Verb 6 -3.75 3.83 5.61 0.53 5 13,707,360 3.97
15. take takes
took 		Verb 9 -4.26 5.07 7.6 0.68 9 10,053,315 5.41
16. will Will Verb 15 -4.53 6.7 9.67 0.69 12 7,766,272 7
17. could could Verb 5 -6.75 2.64 11.48 0.48 4 19,389,009 2.8
18. would would Verb 10 -8.43 4.77 19.86 0.66 9 10,935,996 4.97
19. have had
has
have
Having 		Verb 72 -10.33 11.19 53.63 0.78 31 3,236,353 16.8
20. do did
do
does 		Verb 14 -14.14 5.36 43.74 0.66 10 8,873,886 6.13
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