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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. be 's
are
BE
been
being
is
was
were 		Verb 119 -25.59 12.05 293.25 0.82 51 1,557,440 34.9
2. do did
do
does
done 		Verb 10 -13.19 4.27 35.18 0.7 10 11,471,646 4.74
3. have had
has
have
having 		Verb 48 -10.88 9.81 51.34 0.81 28 2,921,316 18.61
4. go go
going
gone 		Verb 5 -7.57 2.51 13.31 0.56 5 12,658,993 4.29
5. make made
make
makes 		Verb 5 -6.85 2.62 11.75 0.56 5 17,963,348 3.03
6. would would Verb 10 -5.8 5.14 12.15 0.66 9 10,743,314 5.06
7. see saw
see
seen
sees 		Verb 5 -5.78 2.8 9.47 0.56 5 18,685,157 2.91
8. can ca
can 		Verb 10 -4.87 5.3 9.54 0.58 7 13,713,680 3.96
9. will will Verb 10 -4.79 5.31 9.33 0.54 7 10,379,798 5.24
10. take taken
took 		Verb 8 -3.12 4.93 4.7 0.23 3 25,492,512 2.13
11. find find
found 		Verb 5 -1.92 3.75 1.99 0.56 5 16,015,691 3.39
12. must must Verb 6 -0.32 4.99 0.09 0.15 2 40,078,394 1.36
13. deny denied
denies
Deny
denying 		Verb 7 2.37 8.9 54.95 0.45 4 25,393,328 2.14
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