Σύγκριση μεταξύ δύο συστημάτων νευρωνικής μηχανικής μετάφρασης στο γλωσσικό ζεύγος αγγλικά – ελληνικά
Date Issued
January 30, 2020
Type
Πτυχιακή Εργασία
Abstract
Translation is an area that has proven to be rapidly evolving. From the earliest attempts for a word-for-word translation we have today arrived with the help of technology to develop tools and systems that facilitate the work of the translator and enable the translation needs to be met. One of these achievements is machine translation. After the creation of many different models of machine translation over the years, the most recent and dominant one today is neural machine translation. Neural machine translation systems are capable of producing an excellent result, often very close to human translation with excellent prospects. This paper, therefore, examines the comparison of two neural machine translation systems and all the parameters around them, raising a timely issue.
Subjects