scholarly journals Post-Editing Oriented Human Quality Evaluation of Neural Machine Translation in Translator Training: A Study on Perceived Difficulties and Benefits

2021 ◽  
Vol 4 (1) ◽  
pp. 100-124
Author(s):  
Işın ÖNER,Senem ÖNER BULUT
Keyword(s):  
Machine Translation ◽  
Quality Evaluation ◽  
Neural Machine Translation ◽  
Translator Training ◽  
Human Quality

scholarly journals Machine translation post-editing – Current situation and the future of translator training in Bulgaria

2021 ◽  
Vol 9 (3) ◽  
pp. 63-75
Author(s):  
Irina Stoyanova-Georgieva ◽  
Keyword(s):  
Machine Translation ◽  
Current Situation ◽  
Current Paper ◽  
Neural Machine Translation ◽  
The Future ◽  
Translator Training ◽  
Translation Services

The current paper is an attempt to analyse the situation on the market for specialised translation services, and more precisely for Machine Translation in Bulgaria. It provides an overview of some of the generic MT systems and analyses the results coming from the translation of two types of text. The aim of the paper is to raise awareness about the results of Neural Machine Translation and to reveal the need for MT post-editing courses.

scholarly journals An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

2019 ◽  
Vol 28 (4) ◽  
pp. 1-29 ◽  
Author(s):  
Michele Tufano ◽  
Cody Watson ◽  
Gabriele Bavota ◽  
Massimiliano Di Penta ◽  
Martin White ◽  
...  
Keyword(s):  
Empirical Study ◽  
Machine Translation ◽  
Neural Machine Translation ◽  
Bug Fixing ◽  
In The Wild

scholarly journals Neural Machine Translation for Semantic-Driven Q&A Systems in the Factory Planning

Procedia CIRP ◽  
2021 ◽  
Vol 96 ◽  
pp. 9-14
Author(s):  
Uwe Dombrowski ◽  
Alexander Reiswich ◽  
Raphael Lamprecht
Keyword(s):  
Machine Translation ◽  
Neural Machine Translation ◽  
Factory Planning

Neural machine translation with a polysynthetic low resource language

2020 ◽  
Vol 34 (4) ◽  
pp. 325-346
Author(s):  
John E. Ortega ◽  
Richard Castro Mamani ◽  
Kyunghyun Cho
Keyword(s):  
Machine Translation ◽  
Neural Machine Translation ◽  
Low Resource
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