Machine Translation Post-Editing Services

MTPE stands for machine translation post-editing. The term covers professional human review of output from conventional machine translation, neural translation systems, generative AI, and large language models when the goal is to produce an approved final translation.

Light post-editing corrects essential issues so the content is understandable and usable, while avoiding optional stylistic changes. Full post-editing provides a comprehensive source-to-target review covering accuracy, completeness, terminology, grammar, fluency, consistency, style, locale conventions, and technical integrity.

No. Proofreading usually examines near-final target-language content for surface-level language or presentation errors. MTPE requires the linguist to compare machine-generated output with the source and correct errors in meaning, completeness, terminology, and context.

Full post-editing can produce accurate, fluent, and publishable content when the machine output provides a suitable starting point and the workflow includes qualified linguists, clear instructions, terminology resources, and appropriate quality controls. Results depend on the content, language pair, subject matter, and initial output quality.

MTPE can be effective for structured, repetitive, informational, technical, and high-volume content when AI translation produces useful initial output. Human translation may be more appropriate for highly creative, emotionally sensitive, legally consequential, or linguistically complex material.

Brand taglines, creative campaign concepts, literary material, highly ambiguous source content, and some sensitive or high-risk documents may be unsuitable. Regulated content should be assessed carefully and may require additional review, validation, or a human-led workflow.

Yes. Stepes can post-edit content generated by your internal AI solution, enterprise language model, machine translation engine, TMS, or another provider. We can work with your terminology, style guide, translation memory, instructions, and quality criteria without requiring you to replace your existing technology.

Yes. Stepes linguists can post-edit translations generated by large language models and other generative AI systems. When the objective is to score or compare model output rather than deliver a fully edited translation, AI output review or LLM evaluation may be more appropriate.

Stepes can work with output from major commercial machine translation platforms, enterprise AI systems, custom neural translation engines, large language models, client-developed solutions, and translation management systems. The approved system and data-handling process are confirmed for each engagement.

Quality can be measured through defined error categories and severity levels covering accuracy, completeness, terminology, grammar, fluency, style, locale conventions, and technical integrity. Deliverables may include corrected files, tracked changes, comments, classifications, scores, or pass/fail assessments.

Pricing depends on source word count, language pair, subject matter, file format, initial machine translation quality, required post-editing level, terminology preparation, delivery timeline, and additional review requirements. Client-provided output can be assessed before quoting.

Turnaround depends on volume, language coverage, content complexity, file preparation, post-editing level, and review requirements. Multiple languages can often be processed in parallel. Stepes provides a project plan after reviewing the files and delivery expectations.

MTPE may support regulated content when the approach is appropriate and accompanied by necessary controls such as domain-qualified linguists, approved terminology, full source-to-target editing, independent revision, documented query resolution, and client review. Some content may require human translation or additional validation instead.

Stepes provides machine translation post-editing services in more than 100 languages and supports common business documents, technical files, structured content, software localization formats, website content, multimedia scripts, and enterprise publishing workflows.

Stepes can configure controlled workflows for sensitive enterprise content, including secure submission and delivery, restricted project access, approved linguistic resources, confidentiality requirements, and client-specific handling instructions. The authorized technology and AI approach are established before production begins.