AI-assisted localization
AI-assisted localization workflows with humans in control.
Syntaloc’s AI direction is practical: support reviewers with terminology checks, LQA automation concepts, and consistency signals while preserving human judgment where it matters most.
Responsible AI use
AI improves the review layer. It does not replace linguistic expertise.
Localization quality depends on culture, tone, intent, audience, subject matter, and product context. AI can help surface issues; human reviewers decide what is right.
Terminology checks
Compare localized content against approved glossary entries, preferred phrasing, and forbidden terms.
LQA support
Flag potential missing translations, inconsistent repeats, placeholder risks, and formatting patterns for human review.
Context-aware suggestions
Use project context to surface possible wording issues while leaving tone and meaning decisions to reviewers.
Scalable quality control
Make repeated checks easier across recurring content batches without weakening human accountability.
Human-in-the-loop model
A workflow designed around accountability.
The goal is to make quality control easier to scale while keeping the important language decisions visible, reviewable, and human.
Prepare glossary, style, audience, and content context.
Localize or review content with human linguistic judgment.
Run AI-assisted checks for terminology, placeholders, and repeated patterns.
Review flagged issues and decide what should change.
Document feedback so future batches become more consistent.
What this is good for
Useful where volume, consistency, and context meet.
Recurring software releases with many UI strings.
Documentation sets with repeated terminology.
Game content with tags, variables, and lore terms.
Marketing localization where tone and approved language matter.
Independent LQA review before launch or publication.
Clear boundary
Syntaloc does not claim proprietary models, fine-tuned legal corpora, guaranteed error-free output, or fully automated localization. The positioning is practical, transparent, and human-led.
Does AI replace Syntaloc linguists?
No. AI-assisted workflows support checks and suggestions. Human linguists and reviewers remain responsible for final language decisions.
What does AI-assisted localization help with?
It can help with terminology consistency, placeholder checks, repeated pattern review, missing content, formatting risks, and LQA triage.
Is AI used for every project?
Not automatically. The workflow depends on the content type, confidentiality expectations, client preferences, and quality needs.
Start a project
Want a quality workflow for recurring localization?
Tell us about your content pipeline, target markets, review needs, and file formats. We will suggest a human-in-the-loop workflow.