My Conversations with ChatGPT
Machine Translation (MT) and translations generated by AI have brought about a paradigm shift in the translation industry. The output of MT will continue to improve, especially when associated with clients’ translation memories and human editing. Language Service Providers are adapting and are including MT in their processes, when MT is applicable. While linguists will continue to be essential in the process, their role will shift from that of translators to validators of content generated by MT. At Excel Translations, we wanted to know what AI thinks about all of this and decided to have an open conversation on the matter with ChatGPT. I will regularly publish a question and ChatGPT’s response, uncensored.
QUESTION 52:
How do the unique grammatical structures and nuances of Nordic languages pose specific challenges for machine translation systems, and what strategies are being developed to address these challenges effectively?
Chat GPT’s Response:
The intricate grammatical features and nuances of Nordic languages, such as complex case systems, agglutination, variable word order, compound words, and idiomatic expressions, present considerable difficulties for machine translation systems. To tackle these challenges effectively, strategies include utilizing deep learning models, building extensive parallel corpora, combining rule-based and neural approaches, employing human post-editing, developing language-specific modules, involving the community, and continually updating models to improve translation accuracy and naturalness in Nordic languages.
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