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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. benefit benefit Verb 19 4.29 14.47 1,156.43 0.66 12 8,339,584 6.52
2. lose lose
loses
losing
lost 		Verb 16 3.54 11.13 110.03 0.66 11 8,063,980 6.74
3. housing housing Verb 11 3.26 12.75 602.66 0.48 6 15,571,450 3.49
4. calculate Calculate
calculated
calculates
calculating 		Verb 8 2.73 10.87 217.85 0.61 7 9,207,730 5.9
5. retain retained
retaining 		Verb 6 2.27 8.94 70.08 0.53 5 13,474,798 4.03
6. establish establish
established
establishes 		Verb 7 2.2 8.19 28.94 0.58 6 18,353,552 2.96
7. arise arise
arising
arose 		Verb 6 2.18 8.38 44.18 0.43 4 28,329,636 1.92
8. affect affect
affecting 		Verb 6 2.1 7.96 30.45 0.43 4 17,893,087 3.04
9. pay paid
pay 		Verb 6 1.4 6.4 4.64 0.48 4 18,445,133 2.95
10. carry carried
carries
Carrying 		Verb 5 1.31 5.91 4.1 0.48 4 22,495,538 2.42
11. may may Verb 6 -0.7 4.81 0.39 0.6 6 15,604,136 3.48
12. will will Verb 9 -2.92 5.36 4.42 0.64 8 18,619,713 2.92
13. have had
has
have
having 		Verb 56 -4.16 10.98 12.4 0.73 30 3,731,798 14.57
14. would would Verb 7 -4.92 4.1 8.66 0.63 7 14,047,814 3.87
15. do did
do
does 		Verb 6 -12.46 2.56 26.66 0.6 6 16,887,350 3.22
16. be 's
are
be
been
being
is
was
were 		Verb 92 -19.73 11.44 190.69 0.84 45 1,932,731 28.13
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