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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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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
is
was
were 		Verb 82 -35.36 10.42 381.85 0.79 32 3,060,453 17.76
2. have had
has
have 		Verb 45 -11.87 9.51 56.71 0.67 19 5,391,810 10.08
3. make made Verb 7 -5.11 4.06 9.06 0.53 5 15,077,217 3.61
4. see saw
see 		Verb 6 -4.95 3.58 8.23 0.6 6 19,422,828 2.8
5. could could Verb 8 -2.71 5.03 3.81 0.54 6 15,275,214 3.56
6. will will Verb 15 -2.69 7.05 4.36 0.69 11 15,834,271 3.43
7. say said
say
says 		Verb 22 -1.92 8.42 2.69 0.65 13 12,651,368 4.3
8. tell tell
telling
told 		Verb 6 -0.48 4.91 0.19 0.53 5 11,983,741 4.54
9. hold held
holds 		Verb 6 0.6 5.58 0.48 0.29 3 41,412,280 1.31
10. auction auctioned Verb 7 2.64 13.85 2,098.41 0.58 6 19,629,518 2.77
11. export Exported Verb 11 3.26 12.88 665.45 -0.01 1 54,357,808 1
12. sell sold Verb 27 4.81 13.25 310.02 0.48 6 16,539,303 3.29
13. 's 's Verb 157 12.22 19.95 6,152.52 0.49 25 7,706,540 7.05
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