[HTML][HTML] Latest trends in hybrid machine translation and its applications
This survey on hybrid machine translation (MT) is motivated by the fact that hybridization
techniques have become popular as they attempt to combine the best characteristics of …
techniques have become popular as they attempt to combine the best characteristics of …
Log-linear combinations of monolingual and bilingual neural machine translation models for automatic post-editing
This paper describes the submission of the AMU (Adam Mickiewicz University) team to the
Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural …
Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural …
Machine translation systems for Indian languages: review of modelling techniques, challenges, open issues and future research directions
With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …
numerous linguistics require technology for translation. It aids in research for ancient …
[PDF][PDF] Exploring the planet of the apes: a comparative study of state-of-the-art methods for mt automatic post-editing
Downstream processing of machine translation (MT) output promises to be a solution to
improve translation quality, especially when the MT system's internal decoding process is …
improve translation quality, especially when the MT system's internal decoding process is …
An exploration of neural sequence-to-sequence architectures for automatic post-editing
In this work, we explore multiple neural architectures adapted for the task of automatic post-
editing of machine translation output. We focus on neural end-to-end models that combine …
editing of machine translation output. We focus on neural end-to-end models that combine …
Translating without in-domain corpus: Machine translation post-editing with online learning techniques
Globalization has dramatically increased the need of translating information from one
language to another. Frequently, such translation needs should be satisfied under very tight …
language to another. Frequently, such translation needs should be satisfied under very tight …
[HTML][HTML] Adapting neural machine translation for automatic post-editing
Automatic post-editing (APE) models are used to correct machine translation (MT) system
outputs by learning from human post-editing patterns. We present the system used in our …
outputs by learning from human post-editing patterns. We present the system used in our …
Interactive post-editing for verbosity controlled translation
Abstract We explore Interactive Post-Editing (IPE) models for human-in-loop translation to
help correct translation errors and rephrase it with a desired style variation. We specifically …
help correct translation errors and rephrase it with a desired style variation. We specifically …
[PDF][PDF] Project European Language Equality (ELE) Grant agreement no. LC-01641480–101018166 ELE Coordinator Prof. Dr. Andy Way (DCU) Co-coordinator Prof. Dr …
Machine translation has been among the first application areas of natural language
processing. Starting from the first attempts to apply dictionary-based approaches (Hutchins …
processing. Starting from the first attempts to apply dictionary-based approaches (Hutchins …
English→ Russian MT evaluation campaign
P Braslavski, A Beloborodov, M Khalilov, S Sharoff - 2013 - elar.urfu.ru
This paper presents the settings and the result of the ROMIP 2013 MT shared task for the
English→ Russian language direction. The quality of generated translations was assessed …
English→ Russian language direction. The quality of generated translations was assessed …