Guide-linked quiz · Medium Level
AI and the Future of Translator Careers Quiz
Tests how machine translation post-editing (MTPE) reshaped translation, which work stays human, and how metrics such as BLEU and quality estimation work.
Question 1 of 8
What does machine translation post-editing (MTPE) involve?
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- What does machine translation post-editing (MTPE) involve?
- Translating a document twice by hand
- A linguist correcting machine translation output instead of translating from scratch
- Editing a source text before translation
- Recording an interpreter's speech
- How does light post-editing differ from full post-editing?
- Light aims for understandable, accurate text, while full aims for quality comparable to human translation
- Light is done by machines and full by humans
- Light applies only to literary texts
- There is no difference
- What does ISO 18587 (2017) cover?
- Interpreting in courtrooms
- Literary translation copyright
- Requirements for full post-editing of machine translation output
- Machine translation training data licensing
- Why is the fluency of neural machine translation a risk?
- Fluent text is always too long
- Fluency makes files harder to open
- Neural systems are never fluent
- Smooth text can hide omissions, reversed negations or wrong numbers that a reader may not notice
- What does the BLEU metric measure?
- N-gram overlap between machine output and a reference translation
- How long a translator took
- Customer satisfaction with a translation
- The number of languages a system supports
- What makes quality estimation (QE) models useful in translation workflows?
- They replace translation memories
- They translate faster than neural MT
- They predict segment quality without a reference, so low-confidence segments can go to humans
- They certify translations legally
- Which type of work does the guide say remains in human hands for accountability reasons?
- Translating internal user reviews in bulk
- Certified translation of a birth certificate for an immigration application
- Gisting a foreign-language news article
- Machine translating software logs
- Around when did neural machine translation go mainstream, according to the guide?
- Around 1990
- Around 2005
- Around 2023
- Around 2016
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