Language comparison Twi to Kanuri

Comparison Twi to Kanuri

  English    Twi     Kanuri   Comments  Points  
Death-W-
wu [1]
-N-
no [2]
 0,00  
Ear-S-N-
aso*
-S-M-
s3mo
Exact consonant match -S-/-S-
 50,00  
Eye-N-W-
aniwa
-SH-M-
Sim
 0,00  
Four-N-N-
anan
-D-J-W-
diyau
Too weak signals, no point!  0,00  
Hand-N-S-
nsa
-M-S-K-
musko
Exact consonant match -S-/-S-
Too weak signals, no point! Too weak signals, no point!
 0,00  
I-M-
me
-W-
wu
 0,00  
Name-D-N-
edin
-S-
su
Related consonant match -D-/-S-
 42,50  
Night-N-D-W-
anadwo
-B-N-
b3nye
Too weak signals, no point!  0,00  
Nose-H-W-N-
ahw~ene
-K-N-S-
k3nsa
Exact consonant match -N-/-N-
Related consonant match -H-/-K-
 61,67  
Sun-W-J-
awia
-K-N-L-
k3nal
Too weak signals, no point!  0,00  
Three-S-
esa
-J-K-
yakk3
 0,00  
Tongue-T-R-M-
katrama [3]
-T-L-M-
t3lam
Exact consonant match -T-/-T-
Exact consonant match -M-/-M-
Related consonant match -R-/-L-
 90,00  
Tooth-S-N-
ase*
-SH-L-
Seli
Related consonant match -S-/-SH-
 35,00  
Two-M-N-
mmienu
-N-D-
nd~i
Too weak signals, no point!  0,00  
Water-N-S-W-
nsuo
-N-J-
nji
Exact consonant match -N-/-N-
 33,33  
Who-N-J-
nea
-N-D-
ndu
Exact consonant match -N-/-N-
 50,00  
Wind-M-F-R-M-
mframbum
-K-S-M-
kasam
Exact consonant match -M-/-M-
Too weak signals, no point! Too weak signals, no point!
 0,00  
You (thou)-W-
wo
-N-
5i
 0,00  
Analysis:
Total Points/#words: 362,50/18 (=20,139/100). This value has to be reverted (100-Result) to get the distance:
Distance: 79,86
 
A possible remote relatedness between these languages is speculative or not detected by the system (p-Value* = 0,049).

Agree? Disagree? Please CONTACT!  - Share in: Facebook LinkedIn Twitter VK
Statistics for this comparison (exposure to chance - explanation here):
 
→ Mathematical expectation (μ): 88,30
→ Standard deviation (σ): 5,10
p-value = ƒ(79,86, μ, σ): 0,0489
 
This comparison has a probability of 4,89% to get results below 79,86 if conducted with random values. For more details about the statistical context click here.
References:
 1. Source: The ASJP Database edited by Wichmann, Søren & Brown, Cecil H. & Holman, Eric W. & Dryer, Matthew S. & Ran, Qibin,  'Four', 'Three'; 'Who' and 'Wind' and other missing entries added by Ngunza Kwanza
 2. Source: The ASJP Database edited by Wichmann, Søren & Brown, Cecil H. & Holman, Eric W. & Dryer, Matthew S. & Ran, Qibin,  'Four', 'Three'; 'Who' and 'Wind' and other missing entries added by Ngunza Kwanza
 3. Root