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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. write writes
written
wrote 		Verb 5 0.67 5.16 0.65 0.48 4 24,317,726 2.24
2. become became
become
becomes 		Verb 7 0.39 5.85 0.18 0.45 4 20,819,940 2.61
3. hold held
holds 		Verb 5 0.37 4.91 0.17 0.56 5 22,274,711 2.44
4. may may Verb 5 -2.31 3.62 2.65 0.56 5 16,625,232 3.27
5. use use
used 		Verb 5 -2.65 3.52 3.24 0.4 3 19,566,300 2.78
6. say said
says 		Verb 15 -3.51 6.88 6.62 0.71 12 8,197,008 6.63
7. could COULD Verb 5 -4.22 3.11 6.26 0.48 4 22,665,559 2.4
8. know know
known 		Verb 5 -4.95 2.96 7.75 0.56 5 15,500,595 3.51
9. will will Verb 8 -5.45 4.45 10.37 0.61 7 11,852,454 4.59
10. would would Verb 9 -5.79 4.79 11.72 0.55 6 14,366,724 3.78
11. have had
has
have 		Verb 40 -11.83 9.12 54.36 0.68 22 3,868,445 14.05
12. do did
does 		Verb 7 -15.55 2.83 36.75 0.49 5 19,489,126 2.79
13. be 's
are
be
been
being
Is
was
were 		Verb 125 -21.97 12.36 243.83 0.8 42 1,951,717 27.85
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