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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. travel travel
travelled
travelling 		Verb 9 2.66 9.46 61.53 0.68 9 8,711,365 6.24
2. base based Verb 8 1.99 7.76 13.51 0.57 6 18,233,965 2.98
3. live live
lived
lives
living 		Verb 9 1.74 7.6 7.29 0.61 7 8,896,633 6.11
4. return returned
returning 		Verb 5 1.04 5.55 2.03 0.56 5 19,517,908 2.79
5. become become
becoming 		Verb 6 -0.87 4.73 0.56 0.6 6 16,107,798 3.37
6. go go
goes
going
gone
went 		Verb 22 -1.24 8.58 1.25 0.75 17 5,011,886 10.85
7. come came
comes
coming 		Verb 7 -4.08 4.27 6.63 0.58 6 21,664,195 2.51
8. make made
makes
making 		Verb 9 -5.6 4.82 11.13 0.64 8 11,797,358 4.61
9. take take
taking
took 		Verb 6 -6.27 3.34 11.21 0.6 6 15,272,114 3.56
10. could could Verb 5 -6.58 2.67 11.12 0.56 5 13,481,818 4.03
11. know knew
know
known 		Verb 5 -7.57 2.51 13.27 0.48 4 18,588,444 2.92
12. see see
seen 		Verb 5 -7.95 2.46 14.08 0.56 5 17,527,575 3.1
13. will will Verb 8 -8.46 4 18.33 0.61 7 12,933,205 4.2
14. can can Verb 7 -9.54 3.41 20.2 0.63 7 14,720,984 3.69
15. have had
has
have
having 		Verb 52 -14.51 9.81 77.94 0.8 31 2,464,239 22.06
16. be 's
are
be
been
being
is
was
were 		Verb 131 -32.73 12.12 415.72 0.86 53 1,832,694 29.66
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