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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 86 -22.81 11.06 225.22 0.83 42 2,008,851 27.06
2. have had
has
have
having 		Verb 17 -18.23 5.74 68.35 0.67 12 7,781,745 6.99
3. would would Verb 7 -5.36 4.02 9.71 0.53 5 15,715,878 3.46
4. will will Verb 7 -4.46 4.19 7.56 0.63 7 19,075,335 2.85
5. could could Verb 16 1.1 8.46 1.69 0.69 11 12,269,662 4.43
6. stand stands
stood 		Verb 5 1.29 5.88 3.94 0.56 5 28,774,950 1.89
7. reach reach
reached
reaches 		Verb 7 2.03 7.72 17.86 0.58 6 18,666,863 2.91
8. collect collect
collected
collecting 		Verb 6 2.22 8.58 52.44 0.53 5 22,355,870 2.43
9. exact exact
exacted 		Verb 5 2.23 12.96 1,581.33 0.56 5 18,623,542 2.92
10. rise rise
risen
rose 		Verb 8 2.45 8.92 45.67 0.61 7 10,478,828 5.19
11. levy levied
levy
levying 		Verb 7 2.63 12.94 1,110.36 0.53 5 15,970,209 3.4
12. pay paid
pay
paying 		Verb 16 3.32 10.56 65.45 0.77 16 7,852,293 6.92
13. take take
taken
takes
taking
took 		Verb 258 15.28 20.38 4,860.77 0.91 75 859,508 63.24
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