AI-Assisted Translation Quality Training Course

Name: Advanced AI-Assisted Translation Quality Training Course
Availability: InStock

Control terminology, post-edit language-model output, detect critical errors, and approve translations through evidence-based review.

At a glance

Duration: 1 Week
Format: Classroom
Cities: Amman, Frankfurt, Rome, Milan, Lagos, Barcelona and more
Next session: 8 – 12 November 2026, Amman
Average fee: 5,750 €

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Advanced AI-Assisted Translation Quality Training Course

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Overview

Advanced AI-Assisted Translation Quality Training Course is a one-week advanced course for professional translators, localization specialists, language-quality reviewers, terminology managers, and multilingual content leads who leave with an AI-Assisted Translation Quality Assurance Plan. Participants apply AI-assisted translation quality controls, LLM translation evaluation, machine translation post-editing, an MQM error taxonomy, and translation quality assurance methods while retaining human approval. The course addresses terminology drift, omissions, confabulation, privacy, and inconsistent review. Agile Leaders Training Center develops governed translation-quality practice.

Who Should Attend

Translation functions responsible for accurate multilingual content and final linguistic approval
Localization functions responsible for locale adaptation, terminology consistency, and delivery controls
Language-quality functions responsible for bilingual review, error classification, and evaluator calibration
Terminology functions responsible for glossaries, named entities, and controlled language
Multilingual content functions responsible for governed use of language models and sensitive information

The course assumes participants already translate or review professional content, and it leaves basic translation theory, contract drafting, and model development outside its scope.

Departments and Industries

The course supports departments and industries that govern multilingual information and translation quality.

Translation, localization, and language services
Corporate communications and digital content
Legal, procurement, and policy documentation
Healthcare, pharmaceutical, and technical publishing
Technology, manufacturing, and customer support

Learning Objectives

By the end of this course, participants will be able to:

Apply risk-based scoping to language-model translation tasks.
Build terminology, style, context, and prompt controls.
Use machine translation post-editing methods with human approval.
Diagnose omissions, additions, confabulation, and sensitive-data exposure.
Evaluate output with ISO 5060:2024 and MQM concepts.
Build a governed translation quality assurance workflow.

Course Agenda

Day 1: Scope Translation Risk

Translation Brief and Risk Classification Matrix
Source-Text Ambiguity and Translatability Checklist
Data Sensitivity and Tool-Use Decision Gate
Human-AI Responsibility Assignment Map
Acceptance Criteria and Quality Threshold Sheet

Day 2: Control Terminology and Context

Bilingual Terminology Governance Register
Do-Not-Translate and Named-Entity Rules
Style Guide and Locale Constraint Profile
Context Package and Reference Corpus Design
Prompt Specification and Output Schema

Day 3: Generate and Post-Edit Output

Segment-Level Controlled Drafting Method
ISO 18587:2017 Full Human Post-Editing Workflow
Omission, Addition, and Confabulation Detection Checklist
Numerical, Named-Entity, and Cross-Reference Validation
Privacy-Safe Escalation and Rework Protocol

Day 4: Evaluate Translation Quality

ISO 5060:2024 Analytic Evaluation Plan
MQM-Informed Error Taxonomy and Severity Matrix
Sampling Plan and Evaluator Calibration Exercise
Penalty Score and Quality Rating Worksheet
Root-Cause and Corrective-Action Register

Day 5: Practice Governed Quality Assurance

Suggested Exercise: Classify Translation Task Risk
Suggested Exercise: Build Terminology and Context Controls
Suggested Exercise: Post-Edit a Language-Model Translation
Suggested Exercise: Score Output and Resolve Reviewer Variance
Capstone Exercise: Complete an AI-Assisted Translation Quality Workflow

Practical Exercises

The course uses suggested activities based on multilingual legal, healthcare, technical, and customer-support content.

Suggested activity: classify source-text, confidentiality, terminology, and impact risks before selecting a language-model workflow.
Suggested activity: build a glossary, context package, prompt specification, and approval rule for a multilingual document.
Suggested activity: post-edit output and record omissions, additions, confabulation, named-entity errors, and privacy concerns.
Suggested activity: calibrate evaluator scores and defend a final acceptance or rework decision.

FAQs

Who suits AI-assisted translation quality training, and what does it assume?

AI-assisted translation quality training suits experienced translation, localization, terminology, and review functions. It assumes participants already produce or assess professional translations and can compare source and target content.

How does AI-assisted translation quality differ from general artificial intelligence training?

AI-assisted translation quality focuses on bilingual evidence, terminology control, post-editing, error severity, and human approval. General artificial intelligence training addresses broader concepts, applications, and governance without a translation-specific evaluation workflow.

How does LLM translation evaluation detect hallucinations and omissions?

LLM translation evaluation compares source meaning, target coverage, terminology, named entities, numbers, and cross-references. Reviewers classify unsupported additions and missing content, assign severity, and escalate high-impact findings for human resolution.

How do ISO 5060:2024 and MQM support translation quality assurance?

ISO 5060:2024 supports analytic evaluation, sampling, error scores, and quality ratings. MQM supplies adaptable error categories and severity terminology. Teams combine them into a documented rubric suited to their content and risk.

Why is human approval required in machine translation post-editing?

Human approval is required because fluent output can still contain meaning shifts, omissions, fabricated details, terminology errors, or privacy risks. A qualified reviewer decides whether evidence supports acceptance, rework, or escalation.

Conclusion

Participants take back an AI-Assisted Translation Quality Assurance Plan. It combines risk classification, terminology controls, context and prompt specifications, post-editing checks, an error taxonomy, evaluation rubrics, privacy gates, and approval responsibilities. The plan changes language-model translation from informal prompting into a traceable workflow for multilingual content decisions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Casablanca	Week 33, 2027 16 – 20 August 2027	1 Week	Onsite	€4,100
Trabzon	Week 33, 2027 22 – 26 August 2027	1 Week	Onsite	€6,800
Barcelona	Week 35, 2027 30 August – 3 September 2027	1 Week	Onsite	€5,700
Athens	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€6,700
Johannesburg	Week 36, 2027 12 – 16 September 2027	1 Week	Onsite	€4,500
Dubai	Week 38, 2027 20 – 24 September 2027	1 Week	Onsite	€4,500
Kuala Lumpur	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€5,200
Madrid	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€5,700
Istanbul	Week 41, 2027 11 – 15 October 2027	1 Week	Onsite	€4,500
Cape town	Week 41, 2027 17 – 21 October 2027	1 Week	Onsite	€4,500
Vienna	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€5,700
Zanzibar	Week 42, 2027 24 – 28 October 2027	1 Week	Onsite	€5,500
Paris	Week 43, 2027 25 – 29 October 2027	1 Week	Onsite	€5,700
Manama	Week 43, 2027 31 October – 4 November 2027	1 Week	Onsite	€4,700
Nairobi	Week 43, 2027 31 October – 4 November 2027	1 Week	Onsite	€4,500
Amsterdam	Week 45, 2027 8 – 12 November 2027	1 Week	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAdvanced AI-Assisted Translation Quality Training Course is a one-week advanced course for professional translators, localization specialists, language-quality reviewers, terminology managers, and multilingual content leads who leave with an AI-Assisted Translation Quality Assurance Plan. Participants apply AI-assisted translation quality controls…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI-Assisted Translation Quality Training Course