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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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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. encourage encourage
encouraged
encourages 		Verb 11 2.99 10.25 89.62 0.68 10 7,248,661 7.5
2. require require
required
requires
requiring 		Verb 12 2.65 9.26 29.98 0.66 9 8,207,533 6.62
3. seek seek
seeking
seeks
sought 		Verb 9 2.45 8.78 32.46 0.64 8 11,178,257 4.86
4. promote promote
promoting 		Verb 6 2.18 8.37 43.92 0.43 4 17,675,276 3.08
5. need need
needed
needs 		Verb 13 1.82 8.41 6.73 0.72 12 11,466,787 4.74
6. involve involve
involved
involves
involving 		Verb 7 1.79 7.25 9.97 0.63 7 16,261,300 3.34
7. ensure ensure
ensures 		Verb 5 1.61 6.47 9.2 0.56 5 19,561,870 2.78
8. establish establish
established
establishing 		Verb 5 1.47 6.19 6.28 0.56 5 15,900,616 3.42
9. seem seem
seems 		Verb 5 -0.44 4.39 0.16 0.56 5 16,431,742 3.31
10. may may Verb 5 -2.81 3.47 3.53 0.56 5 24,100,781 2.26
11. get get
getting 		Verb 10 -3.58 5.55 6.12 0.66 9 11,920,319 4.56
12. could could Verb 6 -4.09 3.75 6.36 0.6 6 12,749,724 4.26
13. see see
seen 		Verb 5 -6.05 2.75 10.02 0.48 4 15,443,549 3.52
14. would would Verb 10 -6.09 5.09 12.98 0.66 9 13,618,771 3.99
15. make made
make
makes 		Verb 5 -7.15 2.57 12.38 0.56 5 19,389,584 2.8
16. can can Verb 6 -8.26 3.04 15.94 0.6 6 13,535,970 4.02
17. will will Verb 5 -9.38 2.27 17.3 0.48 4 14,921,497 3.64
18. have had
has
have
having 		Verb 33 -16.43 8.14 77.98 0.78 22 4,143,576 13.12
19. be 's
are
be
been
is
was
were 		Verb 102 -30.61 11.33 348.24 0.84 47 1,555,471 34.95
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