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