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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. appoint appointed Verb 10 2.99 10.8 159.31 0.64 8 22,267,172 2.44
2. join join
joined 		Verb 5 1.67 6.63 11.14 0.48 4 20,148,193 2.7
3. describe describe
described
describing 		Verb 5 1.46 6.17 6.17 0.34 3 28,054,368 1.94
4. become became
becomes
becoming 		Verb 7 0.79 6.13 0.9 0.63 7 13,985,840 3.89
5. tell tell
told 		Verb 7 0.59 5.98 0.45 0.58 6 9,970,632 5.45
6. ask asked
asks 		Verb 5 0.32 4.87 0.12 0.4 3 22,472,801 2.42
7. find find
finding
found 		Verb 6 -0.45 4.93 0.17 0.6 6 13,271,092 4.1
8. take take
taken
takes
taking
took 		Verb 11 -0.57 6.69 0.28 0.55 7 10,150,998 5.36
9. should should Verb 6 -0.86 4.74 0.55 0.48 4 32,119,716 1.69
10. use use
used
using 		Verb 5 -1.78 3.8 1.78 0.56 5 14,382,288 3.78
11. come came
come
coming 		Verb 5 -2.56 3.54 3.1 0.48 4 27,481,315 1.98
12. could could Verb 5 -3.08 3.4 4.04 0.56 5 12,406,606 4.38
13. say said
says 		Verb 12 -3.32 6.2 5.78 0.6 7 15,573,944 3.49
14. will will Verb 9 -3.42 5.24 5.58 0.61 7 10,574,089 5.14
15. have had
has
have 		Verb 43 -7.84 9.72 31.23 0.75 27 3,565,119 15.25
16. be 're
's
am
are
be
been
is
was
were 		Verb 116 -17.53 12.32 175.18 0.83 55 1,377,853 39.45
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