The META-NET research on language technologies in 2012 showed a weak support on tools for crossing the language barrier for many European languages, including the south Slavic languages. Therefore, we describe a statistical machine translation system, called Asistent, which enables automatic translations between English, Slovene, Croatian and Serbian. In addition to make this system publicly accessible, we focus on parallel data preparation as well as on using multiple pivot languages for translation quality improvement of the targeted Slavic languages. A comparison of translations generated by the Asistent translation system shows a significant improvement of translation quality over Google Translate.This publication has emanated from rese...
Machine translation is increasingly becoming a hot research topic in information and communication s...
In this work, we systematically investigate different set-ups for training of neural machine transla...
In this work, we systematically investigate different set-ups for training of neural machine transla...
The META-NET research on language technologies in 2012 showed a weak support on tools for crossing t...
Machine translation between closely related languages is less challenging and exhibits a smaller num...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
This work investigates the use of cross-language resources for statistical machine translation (SMT)...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
In this paper we present a comparison of translation quality using of Statistical Machine Translatio...
In this paper we present a comparison of translation quality using of Statistical Machine Translatio...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
In this work, we systematically investigate different set-ups for training of neural machine transla...
In this work, we systematically investigate different set-ups for training of neural machine transla...
The META-NET research on language technologies in 2012 showed a weak support on tools for crossing t...
Machine translation between closely related languages is less challenging and exhibits a smaller num...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
This work investigates the use of cross-language resources for statistical machine translation (SMT)...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
In this paper we present a comparison of translation quality using of Statistical Machine Translatio...
In this paper we present a comparison of translation quality using of Statistical Machine Translatio...
Machine translation is increasingly becoming a hot research topic in information and communication s...
Machine translation is increasingly becoming a hot research topic in information and communication s...
In this work, we systematically investigate different set-ups for training of neural machine transla...
In this work, we systematically investigate different set-ups for training of neural machine transla...