Unsupervised Machine Translation: How Machines Learn to Understand Across Languages

For decades, machine translation between natural languages fundamentally relied on human-translated documents known as parallel texts, which provide direct correspondences between source and target sentences. The notion that translation systems could be trained on non-parallel texts, independently w...

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Xehetasun bibliografikoak

Egile nagusia:	Kvapilíková, Ivana
Formatua:	Online
Hizkuntza:	ingelesa
Argitaratua:	Karolinum Press 2025
Gaiak:	linguistics translation language LLM machine translation thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics
Sarrera elektronikoa:	https://directory.doabooks.org/handle/20.500.12854/161895
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!