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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. join join
joined
joining
joins 		Verb 42 6.38 16.73 2,501.14 0.71 19 5,784,605 9.4
2. leave leave
leaves
leaving
left 		Verb 18 3.67 11.22 99.9 0.67 10 8,800,736 6.18
3. enter enter
entered 		Verb 7 2.43 9.26 74.07 0.63 7 13,848,270 3.93
4. rejoin rejoin
rejoined
rejoining 		Verb 5 2.23 12.68 1,304.83 0.4 3 23,918,005 2.27
5. mean means
meant 		Verb 5 1.07 5.58 2.21 0.48 4 21,200,122 2.56
6. will will Verb 8 -0.87 5.61 0.59 0.47 4 15,930,434 3.41
7. would would Verb 9 -0.93 5.95 0.67 0.55 6 13,701,485 3.97
8. see see
seen 		Verb 5 -1.1 4.07 0.82 0.4 3 37,848,374 1.44
9. can can Verb 5 -2.49 3.57 2.99 0.17 2 32,071,274 1.69
10. have had
has
have 		Verb 30 -3.89 9.04 9.85 0.69 15 6,632,599 8.2
11. be are
be
been
being
is
was
were 		Verb 49 -16.65 9.47 122.88 0.71 18 5,080,411 10.7
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