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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 113 -10.79 12.63 86.53 0.66 35 3,240,138 16.78
2. do do
does
done 		Verb 7 -8.53 3.54 18.01 0.58 6 20,868,326 2.6
3. have had
has
have
having 		Verb 34 -6.27 9.12 21.11 0.73 20 4,450,006 12.22
4. can can Verb 7 -2.84 4.56 3.98 0.45 4 21,721,357 2.5
5. get get
gets
got 		Verb 8 -1.35 5.44 1.25 0.61 7 15,035,522 3.62
6. come came
Come
comes 		Verb 6 -0.82 4.75 0.51 0.53 5 19,733,284 2.75
7. will will Verb 12 -0.69 6.91 0.4 0.39 4 21,397,008 2.54
8. may may Verb 5 -0.56 4.32 0.25 0.17 2 27,572,138 1.97
9. should should Verb 5 -0.47 4.37 0.18 0.28 2 37,109,576 1.46
10. see saw
see
seen
sees 		Verb 9 -0.42 6.15 0.16 0.64 8 16,896,282 3.22
11. want want
wanted
wants 		Verb 5 0.07 4.69 0 0.4 3 22,732,750 2.39
12. take take
taken
taking 		Verb 11 0.42 7.11 0.2 0.48 6 17,001,973 3.2
13. bear born Verb 5 1.82 7.08 18.01 0.48 4 18,162,044 2.99
14. buy buy
buying 		Verb 6 1.88 7.29 15.42 0.53 5 27,377,122 1.99
15. grow grew
grow
grows 		Verb 6 2.04 7.74 24.73 0.29 3 23,855,697 2.28
16. encourage encourage
encouraged
encouraging 		Verb 9 2.8 10.23 116.22 0.2 3 28,780,349 1.89
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