Why We Trained 0.8B and 4B Transliteration Models for Mixed-Script Input Methods (No Mode-Switching)

If you write software documentation, Slack messages, or bilingual notes across two scripts—say Simplified Chinese + English, Japanese + English, Hindi + English, or Arabic + English—you already know the mode-switching tax of traditional input method editors (IMEs). Every time an English identifier (README, useEffect, roadmap, v1.0.22) appears in... Weiterlesen: Why We Trained 0.8B and 4B Transliteration Models for Mixed-Script In…