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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
says 		Verb 56 2.71 12.26 11.76 0.68 21 5,611,153 9.69
2. describe described
describes 		Verb 9 2.12 8.11 15.38 0.55 6 13,904,966 3.91
3. win win
wins
won 		Verb 8 1.9 7.6 10.95 0.61 7 19,375,750 2.81
4. join joined
joins 		Verb 5 1.38 6.03 4.98 0.48 4 21,954,853 2.48
5. write writes
written
wrote 		Verb 8 1.28 6.87 3.03 0.61 7 10,935,938 4.97
6. ask ask
asked
asks 		Verb 5 -0.68 4.26 0.36 0.56 5 17,481,451 3.11
7. see saw
see
sees 		Verb 11 -2.98 5.99 4.75 0.71 11 12,727,080 4.27
8. take take
taken
takes
took 		Verb 8 -4.1 4.71 6.96 0.61 7 12,255,683 4.44
9. come came
come 		Verb 5 -5.07 2.94 7.95 0.56 5 14,011,134 3.88
10. make made
makes
making 		Verb 7 -6.3 3.86 11.93 0.63 7 16,455,179 3.3
11. have had
has
have 		Verb 68 -9.18 11.1 44.43 0.82 37 2,099,906 25.89
12. will will Verb 5 -10.86 2.09 20.58 0.56 5 13,996,829 3.88
13. do did
does 		Verb 9 -17.08 3.6 45.54 0.61 7 16,210,784 3.35
14. be 's
are
be
been
being
is
was
were 		Verb 111 -33.47 11.53 401.85 0.84 49 1,426,665 38.1
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