Machine Translation Post-Editing
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Definition
What is it: Machine translation post-editing involves a human reader checking a machine's draft beside the source file to fix errors and sign off the result as fit for use. It differs from proofreading because it requires direct comparison with the original source document.
What is it used for: It is used to catch fluent errors where machine output sounds correct but misrepresents facts, dates, or meanings from the source. It is critical for high-stakes content like contracts, safety instructions, and financial accounts.
Coverage
- Attributes: 7
- Synonyms: 3
- Related entities: 0
- Sources: 1
Identity
- Entity ID
- https://llms.aismartventures.com/en/machine-translation-post-editing/facts/#entity
- Entity type
- DefinedTerm
- Canonical name
- Machine Translation Post-Editing
- Language
- en
- Topic
- Machine Translation Post Editing
Attributes
- Key Facts
- Post-editing means a person reads the machine’s draft beside the source file, fixes what the machine got wrong, and signs the result off as fit for use. [1]
- Key Facts
- ISO 18587:2017 is the current international standard for human post-editing of machine translation output. [1]
- Key Facts
- A light edit fixes only what would mislead a reader and leaves the original style of the machine translation alone. [1]
- Key Facts
- A full edit improves the tone and word choice of machine translation to meet standards required for publication. [1]
- Key Facts
- ISO 5060:2024 provides a framework for scoring human checks by error type and penalty points rather than just overall readability. [1]
- Process
- Effective review requires working line by line in source order to check the sense of the translation before assessing style. [1]
- Definition
- Neural translation tools learn from past translations using deep networks and typically produce the most smooth-sounding output among machine translation types. [1]
Synonyms & Alternate Names
- MTPE
- Post-editing
- Non-human translation output post-editing
Disambiguation
- Not to be confused with proofreading, which does not look at the source text.
Related Entities
Provenance
- Official source: https://aismartventures.com/posts/can-a-translation-agency-trust-ai-check-the-source
- Last modified:
Sources
- https://aismartventures.com/posts/can-a-translation-agency-trust-ai-check-the-source (Machine Translation Post-Editing)
Machine metadata
- page_type: facts
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- entity_type: DefinedTerm
- entity_name: Machine Translation Post-Editing
- topic_slug: machine-translation-post-editing
- topic_id: topic-en-machine-translation-post-editing
- hub_url: https://llms.aismartventures.com/en/machine-translation-post-editing/
- source_url: https://aismartventures.com/posts/can-a-translation-agency-trust-ai-check-the-source
- brand: AI Smart Ventures
- date_modified:
- language: en
- attributes_count: 7
- related_count: 0
- sources_count: 1
- schema_version: 3