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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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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
were 		Verb 74 -22.19 10.58 206.1 0.44 23 3,962,312 13.72
2. do did
do
does 		Verb 5 -13.15 1.86 26.27 0.34 3 39,370,362 1.38
3. have had
has
have
having 		Verb 29 -9.86 8.22 38.27 0.63 15 5,281,229 10.29
4. go go
Goes
going
gone
went 		Verb 6 -3.51 3.89 5.15 0.53 5 18,370,723 2.96
5. would would Verb 9 -3.28 5.27 5.27 0.4 5 22,255,120 2.44
6. see saw
see
seen 		Verb 6 -2.42 4.18 2.99 0.38 3 31,467,485 1.73
7. know knew
know
known 		Verb 6 -2.24 4.23 2.66 0.15 2 39,934,131 1.36
8. get get
getting
got 		Verb 8 -2.03 5.22 2.44 0.47 4 21,466,473 2.53
9. come came
come 		Verb 6 -1.36 4.53 1.2 0.38 3 33,055,011 1.64
10. ask asked Verb 5 0.57 5.07 0.44 -0.01 1 54,350,143 1
11. work work
worked
working
works 		Verb 8 1.42 7 4.06 0.23 3 36,319,645 1.5
12. call called Verb 9 1.89 7.77 9.67 0.64 8 13,903,137 3.91
13. say said
say
saying 		Verb 32 2.05 10.65 6.73 0.43 8 13,150,146 4.13
14. chop chopped Verb 5 2.21 10.95 385.77 0.17 2 52,888,989 1.03
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