132 citations · 186 across the 15 of their papers we have counts for
6 papers · 1 filter
Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality
Alberto Poncelas, Jan Buts, James Hadley +1
Building Machine Translation (MT) systems for low-resource languages remains challenging. For many language pairs, parallel data are not widely available, and in such cases MT mode…
The Impact of Indirect Machine Translation on Sentiment Classification
Alberto Poncelas, Pintu Lohar, Andy Way +1
Sentiment classification has been crucial for many natural language processing (NLP) applications, such as the analysis of movie reviews, tweets, or customer feedback. A sufficient…
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Xabier Soto, Dimitar Shterionov, Alberto Poncelas +1
Machine translation (MT) has benefited from using synthetic training data originating from translating monolingual corpora, a technique known as backtranslation. Combining backtran…
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Andy Way, Rejwanul Haque, Guodong Xie +3
Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly fro…
Multiple Segmentations of Thai Sentences for Neural Machine Translation
Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu +2
Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a h…
A Tool for Facilitating OCR Postediting in Historical Documents
Alberto Poncelas, Mohammad Aboomar, Jan Buts +2
Optical character recognition (OCR) for historical documents is a complex procedure subject to a unique set of material issues, including inconsistencies in typefaces and low quali…