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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:
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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 88 -13.79 11.61 115.35 0.61 22 3,480,135 15.62
2. have had
has
have 		Verb 19 -11.09 6.67 38.7 0.52 8 16,510,133 3.29
3. do does
done 		Verb 5 -10.39 2.15 19.99 0.56 5 19,265,993 2.82
4. will will Verb 6 -3.16 3.98 4.45 0.29 3 36,960,327 1.47
5. would would Verb 10 -1.73 6.01 1.98 0.44 5 13,551,698 4.01
6. can can Verb 9 -1.62 5.72 1.74 0.5 5 23,367,723 2.33
7. use used
uses
using 		Verb 5 -0.63 4.29 0.31 0.34 3 23,338,358 2.33
8. may may Verb 7 0.39 5.85 0.18 0.45 4 24,803,590 2.19
9. remove remove
removing 		Verb 5 1.97 7.71 32.42 0.4 3 36,682,787 1.48
10. leaching leaching Verb 5 2.23 15.11 7,042.98 0.48 4 15,048,216 3.61
11. leach leach
leached
leaches 		Verb 6 2.45 15.3 6,725.36 0.29 3 28,602,198 1.9
12. convert convert
converted
converting 		Verb 11 3.26 12.71 586.49 0.52 6 17,021,398 3.19
13. reduce reduce
reduced
reduces
reducing 		Verb 19 4.15 12.85 351.93 0.53 9 9,933,330 5.47
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