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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
is
was
were 		Verb 75 -37.17 10.05 391.05 0.79 41 2,012,384 27.01
2. have had
has
have
having 		Verb 31 -16.52 7.92 76.68 0.5 15 5,872,727 9.26
3. do did
do
does
doing
done 		Verb 11 -12.23 4.69 33.34 0.57 8 10,266,824 5.29
4. will will
wo 		Verb 5 -8.98 2.32 16.42 0.48 4 21,188,193 2.57
5. get get
gets
getting
got 		Verb 10 -3.35 5.6 5.54 0.58 7 13,368,463 4.07
6. look look
looked
looking 		Verb 6 -1.85 4.36 1.96 0.53 5 15,857,876 3.43
7. make made
make
makes
making 		Verb 15 -1.36 7.38 1.38 0.71 12 6,609,879 8.22
8. feel Feel
felt 		Verb 7 0.54 5.94 0.37 0.63 7 11,138,630 4.88
9. use use
used
using 		Verb 14 0.62 7.87 0.46 0.58 9 11,963,866 4.54
10. pull pull
pulled
pulling 		Verb 7 2.17 8.08 25.96 0.63 7 17,767,248 3.06
11. loosen loosen
loosened 		Verb 5 2.21 11.18 453.12 0.48 4 36,033,450 1.51
12. untie untie
untied 		Verb 5 2.23 13.23 1,907.39 0.48 4 16,768,612 3.24
13. tie tie
tied
TIES
tying 		Verb 81 8.96 20.38 16,725.26 0.85 43 2,277,721 23.87
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