Levenshtein transition table
| CANDIDATES | така че taka če BLG 🇧🇬 | pa pa CRO 🇭🇷 | takže takže CZE 🇨🇿 | па pa MAC 🇲🇰 | więc vięc POL 🇵🇱 | поэтому poetomu RUS 🇷🇺 | takže takže SLK 🇸🇰 | zato zato SLN 🇸🇮 | па pa SRB 🇷🇸 | тому tomu UKR 🇺🇦 | TOTAL LEVENSHTEIN DISTANCE1 | MUTUAL INTELLIGIBILITY LOSS2 |
| tak ⭐ | 4 | 2 ÷ 2 | 2 | 2 | 4 | 6 | 2 | 3 | 2 ÷ 2 | 3 | 28.0 | 0.0 |
| pak | 5 | 1 ÷ 2 | 3 | 1 | 4 | 6 | 3 | 3 | 1 ÷ 2 | 4 | 30.0 | -2.0 |
| pa | 6 | 0 ÷ 2 | 4 | 0 | 4 | 6 | 4 | 3 | 0 ÷ 2 | 4 | 31.0 | -3.0 |
| takže | 3 | 4 ÷ 2 | 0 | 4 | 5 | 7 | 0 | 4 | 4 ÷ 2 | 4 | 31.0 | -3.0 |
| zato | 6 | 3 ÷ 2 | 4 | 3 | 4 | 5 | 4 | 0 | 3 ÷ 2 | 4 | 33.0 | -5.0 |
| tomu | 6 | 4 ÷ 2 | 4 | 4 | 4 | 3 | 4 | 4 | 4 ÷ 2 | 0 | 33.0 | -5.0 |
| vięc | 6.5 | 4 ÷ 2 | 5 | 4 | 0 | 6.5 | 5 | 4 | 4 ÷ 2 | 4 | 39.0 | -11.0 |
| taka če | 0 | 6 ÷ 2 | 3 | 6 | 6.5 | 7 | 3 | 6 | 6 ÷ 2 | 6 | 43.5 | -15.5 |
| poetomu | 7 | 6 ÷ 2 | 7 | 6 | 6.5 | 0 | 7 | 5 | 6 ÷ 2 | 3 | 47.5 | -19.5 |
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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