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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'S
are
be
been
being
is
was
were 		Verb 105 -29.1 11.49 330.36 0.84 45 1,931,956 28.14
2. say said
say
saying 		Verb 6 -10.24 2.8 20.78 0.6 6 13,160,058 4.13
3. would would Verb 6 -9.26 2.91 18.38 0.53 5 16,966,298 3.2
4. do did
do
does
doing 		Verb 16 -9.09 6.29 26.4 0.75 15 11,424,683 4.76
5. know know
known
knows 		Verb 5 -5.59 2.84 9.05 0.56 5 24,035,590 2.26
6. take taken
takes
taking 		Verb 5 -5.38 2.88 8.63 0.56 5 21,498,831 2.53
7. go go
goes
going
went 		Verb 9 -4.4 5.04 8 0.61 7 14,206,883 3.83
8. have had
has
have
having 		Verb 86 -4.2 12.31 13.52 0.86 47 1,652,530 32.89
9. could could Verb 6 -3.97 3.78 6.09 0.53 5 19,834,943 2.74
10. get get
gets
got 		Verb 10 -3.45 5.58 5.79 0.7 10 9,658,977 5.63
11. make made
make
makes
making 		Verb 10 -3.34 5.6 5.53 0.64 8 18,439,338 2.95
12. will will Verb 16 -2.37 7.33 3.6 0.67 10 7,592,148 7.16
13. may may Verb 7 -1.54 4.95 1.51 0.49 5 14,644,861 3.71
14. see see
seeing
seen
sees 		Verb 13 -1.43 6.92 1.49 0.7 11 7,794,721 6.97
15. can can Verb 21 -1.03 8.49 0.88 0.69 13 6,439,503 8.44
16. find find
finds
found 		Verb 7 -0.91 5.19 0.62 0.49 5 15,915,330 3.42
17. work work
working
works 		Verb 5 -0.48 4.36 0.19 0.48 4 17,666,175 3.08
18. come came
come
comes 		Verb 14 -0.05 7.59 0 0.46 7 12,091,198 4.5
19. use use
used
uses
using 		Verb 13 0.31 7.53 0.11 0.66 10 11,410,482 4.76
20. tell tell
telling
tells
told 		Verb 12 1.39 7.91 3.23 0.49 5 19,471,040 2.79
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