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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 82 7.5 15.26 336.55 0.42 3 24,779,344 2.19
2. look looked
looking 		Verb 16 2.79 9.73 25.97 0.38 3 24,785,768 2.19
3. ask asked Verb 8 1.92 7.64 11.57 -0.01 1 54,321,156 1
4. 's 's Verb 5 1.46 6.17 6.16 0.4 3 24,796,991 2.19
5. would would Verb 17 0.97 8.56 1.27 0.31 4 26,080,594 2.08
6. tell tell
telling
told 		Verb 5 0.78 5.26 0.94 0.28 2 29,053,855 1.87
7. think think
thinking
thought 		Verb 7 0.23 5.75 0.06 0.49 5 14,477,470 3.75
8. take take
taken
took 		Verb 7 -0.27 5.48 0.07 0.38 3 27,236,643 2
9. know knew
know 		Verb 7 -0.35 5.44 0.11 0.23 2 29,046,480 1.87
10. could could Verb 6 -0.45 4.92 0.18 0.29 3 24,801,499 2.19
11. go go
going
went 		Verb 8 -0.72 5.67 0.43 0.27 2 29,046,047 1.87
12. see see Verb 6 -0.91 4.72 0.61 0.38 3 24,795,357 2.19
13. have had
has
have 		Verb 25 -6.31 8.11 19.61 0.3 3 24,796,790 2.19
14. do did
does 		Verb 6 -7.23 3.19 13.82 0.25 2 29,053,433 1.87
15. be 'm
's
are
be
been
being
is
was 		Verb 72 -13.02 11 100.2 0.33 5 15,696,006 3.46
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