Corpus: hin_newscrawl_2017_10K

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5.1.18 Words nearly always as next neighbors

Strong NN co-occurrences with a low probability of being separated

The quotient below is calculated as freq(word1)*freq(word1)/NN_freq^2.

Word 1 Word 1 Frequency of word 1 Frequency of word 2 Frequency as NN Qoutient
Kesari Epaper 22 21 21 1.05
Punjab Kesari 22 22 22 1.00
Results for 15 20 15 1.33
एंकर RBI 13 13 12 1.17
नाम’ ALERT 13 12 12 1.08
उतरने दूंगा 11 10 9 1.36
‘फौजी हेयरकट 11 12 11 1.09
‘साइलैंट पार्टनर’ 9 9 9 1.00
हाफिज सईद 8 8 7 1.31
सेकेंड’ मेंJEE 7 7 7 1.00
क्लासिफाइडइलेक्ट्रोनिक्स क्लासिफाइडरियल 6 6 6 1.00
समझें-राज्यपाल बाबासाहेब 6 6 6 1.00
Result 2017Breaking 5 4 4 1.25
newsnational Desk 5 5 5 1.00
डॉट कॉम 5 7 5 1.40
12th Result 4 5 4 1.25
Board 12th 4 4 4 1.00
Official Trailer 4 4 4 1.00
The Conclusion 4 4 4 1.00
US में‍ 4 4 4 1.00
97 msec needed at 2018-05-29 07:09