Questions and Answers
What is a primary requirement for creating a target-language model?
Why is a bilingual corpus preferred for developing a target-language model?
What is the ideal size of the corpus for developing a target-language model?
Which factor is least associated with the effectiveness of a target-language model?
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What does a target-language model primarily rely on?
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Study Notes
Computer-Aided Translation (CAT) Tools
- CAT tools enhance the efficiency of human translators without replacing their core tasks.
- They utilize a centralized database to allow multiple translators to access the same translation resources, ensuring consistency.
- Translation memory (TM) acts as a reference system, offering suggestions based on previously translated segments.
Impact on Translator Rewards
- Rewards for translators are based on the amount of effort required to review or edit translations.
- The integration of TM allows for more accurate and potentially higher rewards due to reduced time spent on repetitive tasks.
Current Trends in Machine Translation (MT)
- The predominant use of free online MT is driven by the need for quick comprehension of incoming information rather than for professional translation.
- MT tools are often used for rapid assimilation of content, indicating a shift in how translation is approached in the digital age.
Target-Language Model
- The model is constructed using large bilingual corpora, ideally composed of millions of words.
- Such a model enhances the quality and accuracy of translations by leveraging extensive data to inform language processing.
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Description
Explore the functionalities and benefits of Computer-Aided Translation (CAT) tools. This quiz delves into how these tools enhance translator efficiency by utilizing a centralized database and translation memory systems for consistent translations.
