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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. be 'm
're
's
are
be
been
being
is
was
were 		Verb 125 -34.22 11.91 431.95 0.85 59 1,199,774 45.31
2. have had
has
have
having 		Verb 23 -27.99 6.27 127.8 0.74 17 5,762,851 9.43
3. would would Verb 5 -13.92 1.79 27.46 0.56 5 11,871,077 4.58
4. may may Verb 5 -3.99 3.17 5.78 0.48 4 17,703,580 3.07
5. call called Verb 6 -0.16 5.08 0.02 0.53 5 14,103,086 3.85
6. seem seem
seemed
seems 		Verb 9 0.54 6.63 0.36 0.68 9 9,885,624 5.5
7. become became
become
becomes 		Verb 11 0.85 7.35 0.99 0.71 11 8,972,858 6.06
8. speak speak
speaking 		Verb 5 0.96 5.45 1.6 0.56 5 15,938,835 3.41
9. cross crosses
crossing 		Verb 5 1.86 7.24 20.97 0.48 4 20,984,796 2.59
10. stretch stretched
stretches
stretching 		Verb 5 1.99 7.81 35.47 0.56 5 18,090,114 3
11. surround surround
surrounded
surrounding 		Verb 5 2 7.88 37.55 0.56 5 21,823,700 2.49
12. make made
make
makes
making 		Verb 64 4.76 13.31 57.04 0.86 42 1,748,238 31.09
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