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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. draw draw
drawing
drawn
draws
drew 		Verb 63 7.76 17.47 2,766.6 0.79 30 3,715,086 14.63
2. make made
make
makes
making 		Verb 50 5.16 13.17 99.96 0.78 27 2,964,943 18.33
3. base base
based 		Verb 12 3.11 10.45 93.74 0.66 10 10,219,046 5.32
4. must must Verb 13 2.35 8.93 16.04 0.61 8 15,061,189 3.61
5. can can Verb 29 2.24 10.49 8.82 0.73 17 6,749,881 8.05
6. arise arise Verb 6 2.2 8.46 47.48 0.15 2 29,002,388 1.87
7. might might Verb 11 2.17 8.45 13.58 0.66 9 19,297,325 2.82
8. require required
requires 		Verb 5 1.42 6.1 5.58 0.4 3 22,732,273 2.39
9. may may Verb 8 0.25 6.14 0.07 0.54 6 10,915,794 4.98
10. use use
used
using 		Verb 8 0.07 6.03 0 0.61 7 15,763,431 3.45
11. could could Verb 5 -2.39 3.6 2.79 0.56 5 19,189,720 2.83
12. will will Verb 6 -4.39 3.69 7.05 0.53 5 25,051,760 2.17
13. be are
be
been
is
was
were 		Verb 182 -6.17 14.47 39.14 0.82 58 1,469,563 36.99
14. do do
does 		Verb 7 -10.38 3.32 22.86 0.58 6 17,495,195 3.11
15. have had
has
have
having 		Verb 13 -19.19 4.74 64.93 0.62 9 10,936,900 4.97
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