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Glossary terms now reliably reach the model. The glossary is sent inside
the user-turn task statement as well as the system prompt (translation-tuned
models weigh the former), reworded per task (translation vs. summary), and
emitted as one terse line instead of an instruction paragraph. The term list
is capped relative to the text length so a large glossary can no longer
drown a short paragraph and derail the translation.
Glossary matching misses fewer occurrences. Terms whose edges are CJK
characters match inside unspaced Japanese/Chinese prose (the word-boundary
guard no longer applies there), and English entries also match simple
plural/possessive forms ("Caesars", "Caesar's").
Blocks that are exactly one glossary term skip the model. Headings such
as a bare person's name are rendered directly with the glossary target — in
page translation, selection translation, and EPUB export — instead of
risking a model round-trip mangling the mandated form.