Localization quality is a process, not a score.
Huru separates machine assistance from human approval. The product is designed to help teams inspect several dimensions of quality rather than rely on a single confidence percentage.
Meaning fidelity
- →Does the localized text preserve the original claim?
- →Are qualifications still present?
- →Are names, numbers, and units unchanged?
- →Is terminology consistent?
- →Has the model added unsupported information?
Instructional fidelity
- →Does the content still support the learning objective?
- →Are instructions clear?
- →Does the assessment test the same skill?
- →Is the correct answer still correct?
- →Did the difficulty change?
Context review
- →Is the language variant appropriate?
- →Is the tone suitable?
- →Are examples locally understandable?
- →Does the adaptation introduce stereotypes?
- →Are multiple acceptable variants needed?
Rights and provenance
- →Who owns the source?
- →Is translation permitted?
- →Is adaptation permitted?
- →Is commercial use permitted?
- →Is share-alike required?
- →What attribution is required?
- →Have changes been indicated?
Human approval
Huru should not publish an AI-generated local version without an assigned human reviewer. The customer remains responsible for reviewer qualifications and final use.
Evaluation
Pilot evaluation compares the Huru process with the customer's existing workflow using elapsed time, internal effort, revision rounds, error categories, reviewer acceptance, export usability, and repeat usage.