activity
20162022
most citedLost in Translation: Loss and Decay of Linguistic Richness in Machine Translation

49 citations · 88 across the 13 of their papers we have counts for

collaborators

27 papers

cs.CL2021

Dependency Graph-to-String Statistical Machine Translation

Liangyou Li, Andy Way, Qun Liu

We present graph-based translation models which translate source graphs into target strings. Source graphs are constructed from dependency trees with extra links so that non-syntac…

cs.CL2020

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…

cs.CL202010 cited

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…

cs.CL2020

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…

cs.CL20204 cited

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…

cs.CL20202 cited

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…