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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. become became
become
becomes
becoming 		Verb 20 3.49 10.84 56.12 0.64 13 7,392,231 7.35
2. train trained
training
trains 		Verb 7 2.52 9.99 131.96 0.58 6 14,686,762 3.7
3. recruit recruit
recruited
recruiting 		Verb 5 2.18 9.99 193.28 0.48 4 22,330,292 2.43
4. bind bound Verb 5 2.07 8.43 59.27 0.56 5 17,533,704 3.1
5. employ employ
employed 		Verb 5 2 7.91 38.81 0.48 4 19,276,518 2.82
6. work work
worked
working 		Verb 9 1.64 7.48 5.92 0.64 8 16,618,220 3.27
7. take take
taken
taking
took 		Verb 13 0.42 7.58 0.2 0.62 8 11,679,635 4.65
8. use use
used
using 		Verb 9 0.33 6.51 0.12 0.61 7 10,412,392 5.22
9. could could Verb 5 -2.5 3.56 3 0.56 5 14,468,192 3.76
10. make made Verb 6 -3.21 3.96 4.55 0.48 4 18,542,378 2.93
11. would would Verb 9 -3.45 5.24 5.67 0.58 6 16,013,289 3.39
12. go go
goes
going
went 		Verb 6 -3.66 3.85 5.48 0.53 5 16,888,865 3.22
13. get get
got 		Verb 5 -4.07 3.15 5.98 0.56 5 21,935,478 2.48
14. will will Verb 5 -5.45 2.86 8.82 0.48 4 21,436,679 2.54
15. do did
do
doing
done 		Verb 7 -10.7 3.28 23.73 0.58 6 13,748,003 3.95
16. have 've
had
has
have 		Verb 21 -13.8 6.78 52.93 0.75 16 5,925,774 9.17
17. be 're
's
are
be
been
being
is
was
were 		Verb 114 -14.79 12.41 137.35 0.87 55 1,444,519 37.63
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