Voiko tekoäly kääntää tekstiä sujuvasti minkä tahansa kahden suurimman kielen välillä ?

Useiden vuosikymmenten NLP-tutkimus, kypsynyt suurten monikielisten transformerien aikana. DeepL, Google Translate ja nykyaikaiset LL:t tekevät tätä jo puolin ammattilaistasoa paremmin useimmille kielipareille.

Background

Decades of NLP research have culminated in mature machine translation systems by the era of large multilingual transformers. Modern tools such as DeepL, Google Translate, and advanced LLMs routinely deliver translations that meet or exceed semi-professional human quality for most major language pairs.

Current AI systems can translate text between many major languages—especially high-resource languages like Spanish, French, and Chinese—with high fluency and accuracy. Translation quality, however, remains uneven across language pairs and depends heavily on factors such as grammatical structure, writing system alignment, and text complexity. Pairs involving languages with radically different syntax or orthography, for instance, often pose greater challenges. Further complicating the task are subtleties like idioms and culturally specific references, which current systems frequently fail to render accurately.