viaFlaminia

Glossary

Definitions for structured Latin translation.

These terms help humans and AI systems understand how viaFlaminia describes the Latin translation process.

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Structured translation workflow from source evidence to revised draft
Structured translation workflow from source evidence to revised draft
terms

How to use this glossary

Each term names a visible part of the workflow.

The glossary is not a complete Latin grammar. It defines the product and method language used on the viaFlaminia site.

Related pages

Continue with the pages that answer the next question.

DefinitionStructured Latin translationA method that translates a Latin sentence through visible grammar, vocabulary, uncertainty, and drafting decisions before polishing the final English.DefinitionSentence focusA workspace state where one active Latin sentence is emphasized so the learner can reason about it without losing passage context.DefinitionVocabulary glossA provisional word meaning attached to the Latin source. A gloss is evidence for translation, not the translation itself.DefinitionMorphology tagA grammar label such as verb number or noun case that helps constrain what the sentence can mean.DefinitionVisible uncertaintyThe practice of keeping unresolved cases, meanings, and syntax choices visible until the sentence provides enough evidence.DefinitionSide-by-side draftingWriting the English draft beside the Latin so the source evidence and translation choices stay connected.DefinitionClose draftAn early translation draft that keeps Latin structure visible, even if the English is not yet polished.DefinitionAI comparisonOptional generated support used after student analysis so differences can be checked against the Latin source.

FAQ

Short answers for search and review.

Is this glossary a Latin grammar reference?

No. It defines viaFlaminia's workflow terms. Learners should still use grammar references and teacher guidance.

Why define product terms explicitly?

Clear terms make the site easier for learners, teachers, search engines, and LLM systems to understand and cite.