STC Translation Tools & Technology 2

Question 1

What is 'post-editing' in the context of machine translation?

Accepted Answer

A human translator correcting and refining the output of a machine translation engine

Answer

Proofreading a human-translated document for typos

Answer

Adding footnotes and commentary after a translation is complete

Answer

Reformatting a translated document to match the source layout

Question 2

What is a 'fuzzy match' in a translation memory system?

Accepted Answer

A source segment that partially matches a stored TM segment but is not identical

Answer

A translation that is phonetically similar to the source text

Answer

An approximate match between two different target languages

Answer

A segment flagged as potentially offensive by the QA tool

Question 3

What does 'leverage' mean in translation memory terminology?

Accepted Answer

The savings gained by reusing previously translated matches from a TM

Answer

The negotiating power a translator has over project deadlines

Answer

The ability to export translation files to multiple formats simultaneously

Answer

A method for adjusting translation memory segment weights

Question 4

What distinguishes localization (L10n) from translation?

Accepted Answer

Localization adapts content culturally and functionally for a target market, beyond just converting language

Answer

Localization refers only to translating legal documents

Answer

Localization is a faster, less accurate form of translation

Answer

Localization involves translating only numeric and date formats

Question 5

What is a '100% match' in a CAT tool?

Accepted Answer

A source segment that is identical to a previously translated segment stored in the TM

Answer

A segment where the translator has confirmed 100% satisfaction with their output

Answer

A perfect machine translation output that requires no post-editing

Answer

A document that has been fully reviewed by a second translator

Question 6

Which of the following best describes neural machine translation (NMT)?

Accepted Answer

An MT approach using deep learning neural networks trained on large bilingual corpora

Answer

A rule-based translation method using grammatical dictionaries

Answer

A translation performed collaboratively by a network of human translators

Answer

A system that translates speech in real time using voice recognition

Question 7

What is the purpose of QA (Quality Assurance) checks built into CAT tools?

Accepted Answer

To automatically detect potential errors such as missing translations, inconsistencies, or terminology violations

Answer

To evaluate whether the translator holds valid professional certifications

Answer

To compress and archive finished translation projects for client delivery

Answer

To generate word counts and invoices for completed projects