Levenshtein transition table
CANDIDATES | пяць piacь BLR 🇧🇾 | пет pet BLG 🇧🇬 | pet pet CRO 🇭🇷 | pět pьet CZE 🇨🇿 | pjeć pjecь HSB | пет pet MAC 🇲🇰 | pięć pięcь POL 🇵🇱 | пять piatь RUS 🇷🇺 | päť pätь SLK 🇸🇰 | pet pet SLN 🇸🇮 | пет pet SRB 🇷🇸 | п'ять pjatь UKR 🇺🇦 | пѧть pæ̨tь OCS ☀ | TOTAL LEVENSHTEIN DISTANCE1 | MUTUAL INTELLIGIBILITY LOSS2 |
petь | 3 | 1 | 1 ÷ 2 | 2 | 2 | 1 | 2.5 | 2 | 1 | 1 | 1 ÷ 2 | 2 | 1.5 | 20.0 | 0.0 |
pætь | 2.5 | 1.5 | 1.5 ÷ 2 | 2.5 | 2.5 | 1.5 | 2.5 | 1.5 | 0.5 | 1.5 | 1.5 ÷ 2 | 1.5 | 1 | 20.5 | -0.5 |
pietь | 2 | 2 | 2 ÷ 2 | 1.5 | 1.5 | 2 | 1.5 | 1 | 2 | 2 | 2 ÷ 2 | 1.5 | 2 | 21.0 | -1.0 |
pjetь | 2.5 | 2 | 2 ÷ 2 | 1.5 | 1 | 2 | 2.0 | 1.5 | 2 | 2 | 2 ÷ 2 | 1 | 2 | 21.5 | -1.5 |
piætь | 1.5 | 2.5 | 2.5 ÷ 2 | 2.0 | 2.0 | 2.5 | 1.5 | 0.5 | 1.5 | 2.5 | 2.5 ÷ 2 | 1.0 | 2 | 22.0 | -2.0 |
pьetь | 2.5 | 2 | 2 ÷ 2 | 1 | 1.5 | 2 | 2.0 | 1.5 | 2 | 2 | 2 ÷ 2 | 1.5 | 2 | 22.0 | -2.0 |
pet | 4 | 0 | 0 ÷ 2 | 1 | 3 | 0 | 3.5 | 3 | 2 | 0 | 0 ÷ 2 | 3 | 2.5 | 22.0 | -2.0 |
piet | 3 | 1 | 1 ÷ 2 | 0.5 | 2.5 | 1 | 2.5 | 2 | 3 | 1 | 1 ÷ 2 | 2.5 | 3 | 23.0 | -3.0 |
pjet | 3.5 | 1 | 1 ÷ 2 | 0.5 | 2 | 1 | 3.0 | 2.5 | 3 | 1 | 1 ÷ 2 | 2 | 3 | 23.5 | -3.5 |
pьet | 3.5 | 1 | 1 ÷ 2 | 0 | 2.5 | 1 | 3.0 | 2.5 | 3 | 1 | 1 ÷ 2 | 2.5 | 3 | 24.0 | -4.0 |
piatь | 1 | 3 | 3 ÷ 2 | 2.5 | 2.5 | 3 | 2 | 0 | 1.5 | 3 | 3 ÷ 2 | 0.5 | 2 | 24.0 | -4.0 |
pätь | 2.5 | 2 | 2 ÷ 2 | 3 | 3 | 2 | 3 | 1.5 | 0 | 2 | 2 ÷ 2 | 1.5 | 1.5 | 24.0 | -4.0 |
pjatь | 1.5 | 3 | 3 ÷ 2 | 2.5 | 2 | 3 | 2.5 | 0.5 | 1.5 | 3 | 3 ÷ 2 | 0 | 2 | 24.5 | -4.5 |
piat | 2 | 2 | 2 ÷ 2 | 1.5 | 3.5 | 2 | 3 | 1 | 2.5 | 2 | 2 ÷ 2 | 1.5 | 3 | 26.0 | -6.0 |
pjecь | 1.5 | 3 | 3 ÷ 2 | 2.5 | 0 | 3 | 1.0 | 2.5 | 3 | 3 | 3 ÷ 2 | 2 | 3 | 27.5 | -7.5 |
pæ̨tь | 3 | 2.5 | 2.5 ÷ 2 | 3 | 3 | 2.5 | 3 | 2 | 1.5 | 2.5 | 2.5 ÷ 2 | 2 | 0 | 27.5 | -7.5 |
pięcь | 1 | 3.5 | 3.5 ÷ 2 | 3.0 | 1.0 | 3.5 | 0 | 2 | 3 | 3.5 | 3.5 ÷ 2 | 2.5 | 3 | 29.5 | -9.5 |
piacь | 0 | 4 | 4 ÷ 2 | 3.5 | 1.5 | 4 | 1 | 1 | 2.5 | 4 | 4 ÷ 2 | 1.5 | 3 | 30.0 | -10.0 |
1TOTAL LEVENSHTEIN DISTANCE - Summarized count of letter replacements, insertions or deletions to convert the word into national words. The lower the better.
2MUTUAL INTELLIGIBILITY LOSS - Distance to the best candidate word (the best word has always 0.0 score).
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