for example
Levenshtein transition table
| CANDIDATES | напрыклад napryklad BLR 🇧🇾 | například například CZE 🇨🇿 | na przykład na přykład POL 🇵🇱 | napríklad napríklad SLK 🇸🇰 | наприклад napryklad UKR 🇺🇦 | наприкладъ naprikladъ OCS ☀ | na přikład na přikład HSB  | наприклад napriklad RUE  | TOTAL LEVENSHTEIN DISTANCE1 | MUTUAL INTELLIGIBILITY LOSS2 |
| napriklad ⭐ | 0.5 | 1.0 | 2.5 | 0.5 | 0.5 | 1 | 2.0 | 0 | 8.0 | 0.0 |
| napryklad | 0 | 1.5 | 2.0 | 1 | 0 | 1.5 | 2.5 | 0.5 | 9.0 | -1.0 |
| napríklad | 1 | 0.5 | 3.0 | 0 | 1 | 1.5 | 2.5 | 0.5 | 10.0 | -2.0 |
| například | 1.5 | 0 | 2.5 | 0.5 | 1.5 | 2.0 | 2.0 | 1.0 | 11.0 | -3.0 |
| na priklad | 1.5 | 2.0 | 1.5 | 1.5 | 1.5 | 2 | 1.0 | 1 | 12.0 | -4.0 |
| naprikladъ | 1.5 | 2.0 | 3.5 | 1.5 | 1.5 | 0 | 3.0 | 1 | 14.0 | -6.0 |
| na přikład | 2.5 | 2.0 | 0.5 | 2.5 | 2.5 | 3.0 | 0 | 2.0 | 15.0 | -7.0 |
| na přykład | 2.0 | 2.5 | 0 | 3.0 | 2.0 | 3.5 | 0.5 | 2.5 | 16.0 | -8.0 |
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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