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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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TTEST
MI3
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
is
was
were 		Verb 31 -14.43 8.06 86.85 0.83 28 3,958,322 13.73
2. have had
has
have 		Verb 15 -5.03 6.61 12.29 0.76 15 7,358,067 7.39
3. will will Verb 8 0.34 6.19 0.14 0.66 8 15,717,931 3.46
4. would 'd
would 		Verb 11 0.93 7.39 1.22 0.68 10 8,946,334 6.08
5. work work
works
wrought 		Verb 9 2.44 8.76 32.17 0.64 8 13,498,812 4.03
6. can can Verb 19 2.73 9.92 20.36 0.74 16 5,969,496 9.11
7. create create
created
creates
creating 		Verb 26 4.99 14.88 1,114.07 0.78 21 5,125,019 10.61
8. play play
played
playing
plays 		Verb 59 7.55 17.69 3,479.71 0.85 39 2,133,667 25.48
9. cause cause
caused
causes
causing 		Verb 69 8.24 19.19 8,545.31 0.85 41 1,937,818 28.05
10. wreak wreak
wreaked
wreaking
wreaks 		Verb 92 9.59 27.28 1,774,397.39 0.88 53 1,618,461 33.59
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