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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. lie lies Verb 8 2.41 8.75 38.93 0.54 6 12,668,721 4.29
2. offer offer
offered
offers 		Verb 10 2.35 8.61 21.65 0.46 6 13,201,470 4.12
3. seek seek
seeking
seeks
sought 		Verb 8 2.3 8.42 28.46 0.61 7 13,777,537 3.95
4. lay lay Verb 5 1.6 6.45 8.9 0.56 5 18,818,557 2.89
5. bring bring
brought 		Verb 8 1.48 7.07 4.63 0.66 8 7,718,922 7.04
6. find find
finds
found 		Verb 11 0.72 7.27 0.67 0.71 11 10,440,379 5.21
7. come came
come
comes 		Verb 11 -0.6 6.68 0.31 0.66 9 9,512,566 5.71
8. may may Verb 5 -2.29 3.63 2.62 0.56 5 13,982,280 3.89
9. see saw
see
seen 		Verb 9 -2.54 5.46 3.55 0.68 9 9,887,125 5.5
10. could could Verb 5 -4.2 3.12 6.2 0.48 4 21,754,804 2.5
11. make made
make 		Verb 5 -6.18 2.73 10.33 0.4 3 24,212,854 2.25
12. can Can Verb 5 -8.29 2.41 14.91 0.56 5 13,586,519 4
13. say said
saying 		Verb 5 -10.49 2.14 19.84 0.48 4 18,779,903 2.89
14. be 's
are
be
been
is
was
were 		Verb 149 -18.02 13.13 196.42 0.84 58 1,222,260 44.47
15. have had
has
have 		Verb 24 -18.43 6.92 79.55 0.7 16 5,560,860 9.78
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