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:  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
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