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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
saying
says 		Verb 44 3.55 12.03 27.92 0.56 13 9,460,018 5.75
2. 's 's Verb 7 1.69 7.09 7.99 0.58 6 16,012,346 3.39
3. tell tell
telling
tells
told 		Verb 8 1.16 6.76 2.28 0.61 7 27,320,343 1.99
4. show show
showed
shows 		Verb 5 0.55 5.05 0.4 0.56 5 26,813,903 2.03
5. come came
come 		Verb 5 -1.94 3.74 2.03 0.56 5 15,867,449 3.43
6. will will
wo 		Verb 9 -2.58 5.44 3.65 0.58 6 14,711,348 3.7
7. take took Verb 5 -2.77 3.48 3.48 0.56 5 14,930,720 3.64
8. go GO
gone
went 		Verb 7 -2.87 4.56 4.02 0.58 6 17,859,703 3.04
9. know knew
know 		Verb 5 -2.9 3.44 3.72 0.34 3 26,941,673 2.02
10. make made
make 		Verb 5 -3.81 3.21 5.46 0.34 3 29,255,533 1.86
11. would would Verb 8 -3.84 4.76 6.4 0.57 6 15,366,034 3.54
12. have 'd
had
has
have 		Verb 37 -7.41 9.27 27.6 0.52 17 4,491,786 12.1
13. do did
do
does 		Verb 6 -11.6 2.65 24.52 0.53 5 21,490,827 2.53
14. be 'm
's
are
be
been
being
is
was
were 		Verb 80 -20.67 10.92 193.34 0.76 34 2,461,541 22.08
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