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kevinveenbirkenbachandClaude Opus 5
c64c0628ae
27d59f4bd4 caught a non-Latin target answered in Latin letters. Its
mirror was missing, so the model answering a language it cannot write
with one it can passed every criterion:
ch 'AI Services' -> '人工智能服务' Chamorro, answered in Han
tr 'Sales' -> 'إدارة'
ae (76 entries) -> Arabic, Persian, Hebrew, Chinese
Chamorro writes in the Latin script and lives on Guam; the code 'ch'
reads as Chinese to a model that does not know the language, which is
how the whole catalog came back in Mandarin.
Measured over the 121 Latin-script catalogs before the rule was
written: 79 entries condemned, 76 of them in ae and 3 in tr. All three
Turkish ones were read individually and none is a false positive; two
are an Arabic fragment with a markdown rule and one is English plus
Bengali repeated four times.
Its own criterion rather than an arm of untranslated(): the catalogs
record the reason on the entry, and 'answered in another script' is a
different diagnosis from 'came back untranslated'. The two together
cover the script dimension for all 184 languages.
What it still cannot see: Spanish served as Corsican. Telling two
Latin-script languages apart needs a detector this repository does not
have, so that class stays open.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>