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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
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were 		Verb 246 -39.14 14.08 656.6 0.87 75 775,068 70.14
2. do did
do
does
doing 		Verb 11 -30.36 3.57 94.89 0.66 9 9,929,226 5.47
3. have 've
had
has
have 		Verb 66 -24.67 10.08 168.11 0.86 43 1,931,613 28.14
4. say said
say
says 		Verb 7 -22.42 2.37 54.45 0.45 4 37,031,659 1.47
5. get get
gets
got 		Verb 8 -12.94 3.52 30.56 0.57 6 15,797,420 3.44
6. can ca
can 		Verb 12 -12.37 4.98 34.2 0.66 10 10,114,674 5.37
7. see see
seeing
seen 		Verb 7 -11.99 3.15 26.4 0.58 6 11,438,658 4.75
8. go go
goes
going
went 		Verb 10 -11.81 4.4 30.01 0.66 9 9,302,084 5.84
9. would would Verb 18 -10.18 6.57 31.23 0.74 15 7,225,001 7.52
10. make made
make
makes 		Verb 12 -9.2 5.3 23.56 0.73 12 6,579,064 8.26
11. could could Verb 8 -9.02 3.93 19.69 0.61 7 10,027,770 5.42
12. take take
takes
taking
took 		Verb 12 -7.02 5.57 16.53 0.66 9 8,124,385 6.69
13. use use
used
using 		Verb 9 -5.45 4.85 10.64 0.64 8 11,003,753 4.94
14. should should Verb 9 -4.61 5 8.47 0.68 9 10,896,344 4.99
15. may may Verb 10 -4.3 5.41 7.91 0.54 7 15,132,020 3.59
16. work work
worked
working 		Verb 5 -3.55 3.27 4.9 0.48 4 14,426,741 3.77
17. call called
calling 		Verb 5 -2.6 3.53 3.15 0.56 5 14,526,666 3.74
18. become became
become
becoming 		Verb 7 -2.58 4.63 3.4 0.63 7 14,794,504 3.67
19. will will Verb 42 -1.9 10.41 2.86 0.76 24 3,617,139 15.03
20. begin began
begin
begun 		Verb 5 -1.52 3.89 1.38 0.56 5 18,761,594 2.9
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