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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. show show
showed
showing
shown
shows 		Verb 30 4.91 13.09 235.73 0.81 25 4,267,222 12.74
2. follow follow
followed 		Verb 5 1.18 5.73 2.96 0.56 5 19,193,584 2.83
3. leave leave
leaves
left 		Verb 6 1.15 6.08 2.5 0.53 5 18,249,204 2.98
4. become became
become
becomes 		Verb 6 1.03 5.96 1.83 0.6 6 11,206,051 4.85
5. feel feeling
felt 		Verb 5 0.88 5.36 1.27 0.56 5 22,277,170 2.44
6. find find
found 		Verb 5 -0.02 4.63 0 0.56 5 14,771,035 3.68
7. may may Verb 5 -0.42 4.4 0.15 0.48 4 22,904,086 2.37
8. take take Verb 5 -1.85 3.77 1.9 0.56 5 27,834,967 1.95
9. get get
got 		Verb 6 -2.13 4.27 2.47 0.6 6 17,893,873 3.04
10. would would Verb 9 -2.13 5.57 2.72 0.61 7 10,456,554 5.2
11. go go Verb 6 -2.41 4.18 2.99 0.6 6 12,954,596 4.2
12. will will Verb 5 -3.88 3.19 5.62 0.48 4 17,206,244 3.16
13. have had
has
have
having 		Verb 41 -4.07 10.01 11.28 0.83 31 2,543,828 21.37
14. do did
do 		Verb 13 -4.19 6.29 8.49 0.7 11 7,978,706 6.81
15. be are
be
been
being
is
was
were 		Verb 81 -15.04 11.26 126.88 0.85 43 2,139,273 25.41
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