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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. visit visit
visited
visiting 		Verb 10 2.61 9.17 39.28 0.58 7 9,888,994 5.5
2. 's 's Verb 15 2.31 9.12 13.24 0.65 10 6,762,128 8.04
3. bury buried Verb 6 2.26 8.89 67.59 0.43 4 24,368,957 2.23
4. hold held
holds 		Verb 15 2.02 8.88 8.6 0.64 10 8,151,877 6.67
5. attend attended
attending 		Verb 5 1.61 6.49 9.35 0.56 5 18,838,779 2.89
6. move move
moved
moving 		Verb 8 0.77 6.46 0.83 0.61 7 12,477,844 4.36
7. leave leaving
left 		Verb 10 0.2 6.74 0.04 0.46 6 15,103,651 3.6
8. run ran
run 		Verb 5 -0.47 4.37 0.18 0.4 3 32,053,722 1.7
9. find found Verb 6 -3.61 3.86 5.32 0.6 6 18,318,264 2.97
10. go go
goes
gone
went 		Verb 7 -10.61 3.29 22.89 0.53 5 14,041,031 3.87
11. say said
says 		Verb 6 -17.6 2.14 38.84 0.53 5 16,745,988 3.25
12. do did
does
done 		Verb 5 -34.76 0.6 76.33 0.56 5 23,181,642 2.34
13. have had
has
have 		Verb 19 -40.91 5.12 179.67 0.74 15 5,229,235 10.4
14. be 's
are
be
been
is
was
were 		Verb 73 -65.99 9.25 747.88 0.84 41 1,867,178 29.11
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