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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
saying
says 		Verb 40 1.56 11.05 3.33 0.67 15 5,245,575 10.36
2. tell tell
tells
told 		Verb 12 1.45 7.95 3.66 0.55 7 10,642,045 5.11
3. stand stand
stood 		Verb 5 0.99 5.49 1.78 0.34 3 43,065,081 1.26
4. follow followed
following
follows 		Verb 6 0.71 5.66 0.71 0.53 5 24,535,221 2.22
5. 's 's Verb 5 0.57 5.07 0.45 0.48 4 18,296,546 2.97
6. ask asked
asking 		Verb 7 0.57 5.96 0.42 0.58 6 15,959,859 3.41
7. look Look
looked
looking 		Verb 7 -1.27 5.05 1.1 0.53 5 14,793,801 3.67
8. want want
wanted 		Verb 5 -1.49 3.91 1.33 0.48 4 17,675,916 3.08
9. know knew
know
known
knows 		Verb 10 -2.2 5.88 2.89 0.58 7 12,544,083 4.33
10. come came
coming 		Verb 6 -3.17 3.97 4.42 0.53 5 13,383,318 4.06
11. make made
makes 		Verb 8 -4.22 4.68 7.26 0.57 6 20,693,047 2.63
12. go go
goes
went 		Verb 6 -6.33 3.33 11.39 0.43 4 22,471,712 2.42
13. do did
do
does
done 		Verb 19 -7.28 7.08 20.74 0.5 10 6,865,006 7.92
14. would would Verb 7 -7.86 3.63 15.93 0.53 5 13,787,549 3.94
15. have had
has
have 		Verb 60 -7.88 10.8 34.29 0.67 24 5,248,931 10.36
16. be 's
are
be
been
being
is
was
were 		Verb 129 -23.03 12.42 262.4 0.73 46 1,496,748 36.32
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