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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. measure measure
measured
measures
Measuring
Verb 16 3.47 10.91 90.68 0.57 9 10,233,170 5.31
2. exceed exceed
exceeded
exceeding
exceeds
Verb 10 2.83 9.9 76.67 0.64 8 13,807,234 3.94
3. time time Verb 5 2.04 8.16 47.76 0.4 3 21,080,919 2.58
4. reach reach
reached
reaches
reaching
Verb 14 1.68 8.48 5.16 0.66 10 13,771,662 3.95
5. clear clear
cleared
clearing
Verb 6 1.67 6.82 8.78 0.48 4 20,260,677 2.68
6. beat beat
beating
Verb 5 1.07 5.58 2.19 0.34 3 19,447,952 2.8
7. finish finished
finishing
Verb 6 0.88 5.81 1.2 0.25 2 32,068,008 1.7
8. place place
placed
Verb 6 0.4 5.43 0.19 0.43 4 31,249,059 1.74
9. win win
winning
won
Verb 9 0.32 6.5 0.12 0.5 6 14,882,827 3.65
10. cover cover
covered
covering
covers
Verb 5 -0.6 4.3 0.29 0.56 5 18,734,702 2.9
11. run ran
run
runs
Verb 11 -0.73 6.63 0.43 0.64 8 18,617,920 2.92
12. produce produce
produced
Verb 5 -2.36 3.6 2.72 0.56 5 13,242,670 4.1
13. turn turned
turns
Verb 5 -4.5 3.05 6.75 0.56 5 15,727,209 3.46
14. take take
taken
takes
taking
took
Verb 14 -12.21 5.52 35.48 0.69 11 8,366,309 6.5
15. may may Verb 6 -13.38 2.48 27.97 0.6 6 24,262,729 2.24
16. give gave
give
given
giving
Verb 7 -13.62 2.99 30.49 0.58 6 16,187,251 3.36
17. should should Verb 5 -14.55 1.74 28.46 0.56 5 18,455,625 2.95
18. use use
used
using
Verb 5 -16.38 1.59 32.55 0.56 5 33,216,071 1.64
19. will will Verb 15 -19.17 5.24 63.12 0.71 12 12,604,739 4.31
20. go go
goes
going
went
Verb 8 -24.67 2.72 63.79 0.66 8 7,908,355 6.87
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