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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be be
been
being
is
was
were 		Verb 89 -19.6 11.33 186.96 0.4 24 4,214,079 12.9
2. have had
has
have 		Verb 43 -6.38 9.87 23.02 0.45 17 5,768,549 9.42
3. would would Verb 6 -5.51 3.47 9.56 0.15 2 30,566,220 1.78
4. get get
got 		Verb 6 -3.35 3.93 4.82 0.29 3 24,023,649 2.26
5. will will
willed 		Verb 8 -3.29 4.89 5.11 0.61 7 13,847,972 3.93
6. make made
makes 		Verb 6 -3.26 3.95 4.63 0.6 6 11,801,480 4.61
7. go go
Going
gone
went 		Verb 8 -2.5 5.09 3.39 0.44 5 15,883,334 3.42
8. come came
comes 		Verb 5 -2.08 3.7 2.26 0.48 4 24,813,110 2.19
9. give gave
given 		Verb 5 -1.5 3.91 1.35 0.34 3 23,376,181 2.33
10. say said
saying
says 		Verb 20 -0.25 8.57 0.06 0.69 12 9,717,787 5.59
11. tell tell
tells
told 		Verb 5 0.05 4.68 0 0.48 4 29,689,903 1.83
12. 's 's Verb 5 1.07 5.58 2.21 0.48 4 19,246,133 2.82
13. ask asked
asking 		Verb 7 1.19 6.48 2.59 0.35 3 37,902,344 1.43
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