ChatGPT’s translation sounds non-native, primarily due to word choice, including a number of mistakes made in the translation. The most glaring of this is translating side enganado as cheated on, which does not make sense in the context of the sentence. Some of the other word choices also sound awkward or non-native.
The upside of ChatGPT is that some word choices, in particular the translation of dificil as hard rather than difficult make it sound much more casual and conversational than other translations. ChatGPT may be well suited for recreating more informal or casual speech and writing, although accurately recreating native casual writing will be difficult without first addressing the word choice errors in the engine. ”
-Samuel
“The main idea of the source text is delivered correctly czech republic mobile database in English. The choice of words could be improved, as cheated on would be a better fit than deceived. Also, the use of verb contraction would make this sentence easier to read (they’ve been instead of they have been).”
The AI revolution is here.
Machine intelligence has firmly established its presence everywhere, with translation being one of the most notably impacted fields. With the advent of large language models like GPT, the landscape of translation has been transformed, offering new possibilities and opportunities for language professionals around the world.
Or has it?
The data used to train the model is primarily in English, which means users working with other languages may not benefit from the same types of advantages offered otherwise by the tool. GPT’s lack of a comprehensive cultural and linguistic understanding of certain languages forces translators to spend more time and energy post-editing. It can lead to bias, too – even the CEO of ChatGPT model agrees.