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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. be 're
's
are
be
been
being
is
was
were 		Verb 527 -97.64 15.69 2,720.12 0.92 92 387,464 140.3
2. say said
say
saying 		Verb 7 -78.04 0.68 205.11 0.58 6 14,014,657 3.88
3. have 've
had
has
have
having 		Verb 102 -74.83 10.27 742.83 0.86 54 1,326,562 40.98
4. do did
do
does
doing
done 		Verb 26 -65.42 5.61 323.66 0.76 19 4,038,167 13.46
5. come came
comes
coming 		Verb 5 -41.37 0.36 88.85 0.56 5 25,413,049 2.14
6. know know
knowing
known 		Verb 10 -34.82 3.06 102.49 0.66 9 9,236,246 5.89
7. will will Verb 20 -34.64 5.52 140.23 0.76 17 5,502,760 9.88
8. would would Verb 25 -34.4 6.31 153.92 0.77 21 3,673,519 14.8
9. go go
goes
going
went 		Verb 17 -32.85 5.01 122.65 0.73 14 6,851,666 7.93
10. see saw
see
seeing 		Verb 13 -30.98 4.14 101.64 0.72 12 5,554,710 9.79
11. could could Verb 11 -29.22 3.62 88.24 0.68 10 12,378,905 4.39
12. look look
looked
looking 		Verb 6 -27.53 1.56 62.51 0.6 6 15,256,634 3.56
13. get get
got 		Verb 21 -26.75 6.01 106.55 0.78 19 4,585,502 11.85
14. may may Verb 8 -24.04 2.75 61.43 0.61 7 13,963,838 3.89
15. can can Verb 35 -23.93 7.92 116.06 0.81 25 3,020,276 18
16. make made
make
makes
making 		Verb 32 -19.31 7.86 86.02 0.8 25 4,010,279 13.56
17. must must Verb 5 -18.84 1.41 37.89 0.56 5 15,597,537 3.49
18. should should Verb 12 -17.77 4.55 52 0.66 10 15,353,325 3.54
19. mean mean
means
meant 		Verb 5 -17.27 1.52 34.39 0.48 4 19,800,313 2.75
20. work work
worked 		Verb 5 -16.4 1.58 32.45 0.56 5 21,141,953 2.57
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