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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 's
are
be
is
was
were 		Verb 49 -27.28 8.94 227.67 0.82 31 2,856,768 19.03
2. would would Verb 5 -5.4 2.87 8.75 0.56 5 20,124,722 2.7
3. have 've
had
has
have
having 		Verb 41 -5.21 9.86 16.68 0.81 28 3,474,424 15.65
4. will will Verb 7 -3.08 4.5 4.49 0.63 7 13,596,075 4
5. get get
getting
got 		Verb 6 -2.63 4.12 3.4 0.6 6 14,410,947 3.77
6. see saw
see
seen 		Verb 9 -0.6 6.08 0.31 0.68 9 10,588,318 5.13
7. cover cover
covered 		Verb 5 1.75 6.86 14.28 0.56 5 19,991,878 2.72
8. remain remain
remained
remains 		Verb 6 1.83 7.15 13.26 0.53 5 15,012,964 3.62
9. prove prove Verb 5 1.86 7.22 20.73 0.56 5 18,180,555 2.99
10. carry carried
carries
carry 		Verb 7 1.97 7.59 15.4 0.63 7 9,178,267 5.92
11. show show
showed
showing
shows 		Verb 13 2.66 9.33 26.91 0.74 13 6,291,775 8.64
12. heal heal
healed
healing
heals 		Verb 10 3.15 14.43 2,183.75 0.66 9 10,959,828 4.96
13. run ran
running 		Verb 15 3.28 10.53 71.27 0.69 11 12,197,189 4.46
14. leave leave
leaves
leaving
left 		Verb 33 5.13 13.31 247.02 0.83 29 3,445,572 15.78
15. bear bear
bearing
bears
bore
borne 		Verb 30 5.3 14.76 866.42 0.81 25 4,680,244 11.61
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