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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were 		Verb 73 -15.23 10.9 124.82 0.68 16 8,491,770 6.4
2. would would Verb 6 -3.45 3.9 5.06 0.6 6 15,956,352 3.41
3. have had
has
have 		Verb 41 -3.42 10.1 8.52 0.64 13 8,646,366 6.29
4. will will Verb 7 -2.2 4.74 2.71 0.41 3 51,621,981 1.05
5. give gave
given
gives
giving 		Verb 7 0.31 5.79 0.11 0.58 6 14,706,486 3.7
6. tell told Verb 7 1.28 6.56 3.17 0.45 4 29,754,621 1.83
7. call called
calling 		Verb 6 1.41 6.4 4.66 0.6 6 23,261,118 2.34
8. appear appear
appeared 		Verb 5 1.57 6.4 8.39 0.34 3 32,984,859 1.65
9. arrive arrived Verb 5 1.94 7.54 27.85 0.48 4 27,221,249 2
10. say said
saying
says 		Verb 26 2.03 10.13 7.01 0.65 10 15,329,207 3.55
11. free free
freed
freeing 		Verb 5 2.19 10.18 221.63 0.48 4 16,211,674 3.35
12. announce announce
announced 		Verb 6 2.2 8.45 46.83 0.48 4 28,106,143 1.93
13. release release
released
releasing 		Verb 7 2.5 9.81 114.85 0.58 6 15,382,559 3.53
14. meet meet
meeting
met 		Verb 10 2.68 9.36 47.46 0.54 5 17,322,275 3.14
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