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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
CHISQ
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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 107 -30.14 11.51 347.76 0.87 57 1,423,919 38.18
2. will will Verb 6 -8.35 3.03 16.16 0.6 6 12,280,612 4.43
3. have 'd
've
had
has
have
having 		Verb 67 -7.67 11.18 33.84 0.86 44 1,836,630 29.6
4. may may Verb 8 -1.24 5.48 1.07 0.61 7 8,331,324 6.52
5. become became
become 		Verb 5 -0.78 4.21 0.45 0.56 5 12,848,037 4.23
6. achieve achieve Verb 6 1.75 6.99 10.86 0.6 6 21,138,089 2.57
7. represent represent
represented
representing
represents 		Verb 6 1.81 7.1 12.53 0.6 6 14,825,002 3.67
8. raise raise
raised
raising 		Verb 7 1.92 7.47 13.32 0.63 7 11,997,625 4.53
9. express express
expressed 		Verb 6 1.95 7.47 18.78 0.6 6 14,868,542 3.66
10. fulfil fulfil
fulfilled
fulfilling
fulfils 		Verb 7 2.55 10.34 171.49 0.58 6 11,163,327 4.87
11. embody embodied
embodies 		Verb 7 2.6 11.44 383.81 0.63 7 17,067,192 3.19
12. meet meet
meeting
meets
met 		Verb 14 2.9 9.77 37.79 0.73 13 6,515,316 8.34
13. reflect reflect
reflected
reflecting
reflects 		Verb 11 2.97 10.2 85.97 0.66 9 10,886,462 4.99
14. satisfy satisfied
satisfies
satisfy 		Verb 12 3.38 12.57 483.7 0.57 7 10,026,812 5.42
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