TRA 3956 Lecture Notes - Lecture 11: Controlled Natural Language, Translation Memory, Postediting
19 Mar 2018
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Document Summary
Post-editing is not revision, nor correction, nor rewriting. It is a new way of considering a text, a new way of working on it, for a new aim (loffler-laurian, 1984, p. 237) . Common problems that should be dealt in pe. Correcting only the most obvious typos, word, and grammatical errors. Deleting unnecessary or extra translation alternatives generated by the machine. Making key terminology consistent, but with no in-depth term checking. Checking terminology against approved terminological resources to make sure it is consistent and appropriate. Making syntactic modifications in accordance with practices for the target language. Adapting all cultural references, including idioms, examples, etc. Ensuring perfect faithfulness a 1-to-1 correspondence between the source and target text. Correcting all grammatical errors, typos, punctuation errors, and spelling mistakes. Cat tools: clean, high quality, domain-specific data. Expected quality, risk assessment and error tolerance. Human daily output vs. mt+ pe output. Expected pricing discount based on factors above.
