166 citations · 607 across the 32 of their papers we have counts for
9 papers · 1 filter
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task
Alberto Poncelas, Andy Way, Kepa Sarasola
In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluation Campaign. Basque is a low-resourced, morphologically-rich language. This poses…
Data Selection with Feature Decay Algorithms Using an Approximated Target Side
Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way
Data selection techniques applied to neural machine translation (NMT) aim to increase the performance of a model by retrieving a subset of sentences for use as training data. One o…
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Longyue Wang, Zhaopeng Tu, Andy Way +1
Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. Recentl…
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
Jinhua Du, Jingguang Han, Andy Way +1
Attention mechanisms are often used in deep neural networks for distantly supervised relation extraction (DS-RE) to distinguish valid from noisy instances. However, traditional 1-D…
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral, Sheila Castilho, Ke Hu +1
We reassess a recent study (Hassan et al., 2018) that claimed that machine translation (MT) has reached human parity for the translation of news from Chinese into English, using pa…
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban, Qun Liu, Andy Way
Recently, neural machine translation (NMT) has emerged as a powerful alternative to conventional statistical approaches. However, its performance drops considerably in the presence…
Investigating Backtranslation in Neural Machine Translation
Alberto Poncelas, Dimitar Shterionov, Andy Way +2
A prerequisite for training corpus-based machine translation (MT) systems -- either Statistical MT (SMT) or Neural MT (NMT) -- is the availability of high-quality parallel data. Th…
Quality expectations of machine translation
Andy Way
Machine Translation (MT) is being deployed for a range of use-cases by millions of people on a daily basis. There should, therefore, be no doubt as to the utility of MT. However, n…
What Level of Quality can Neural Machine Translation Attain on Literary Text?
Antonio Toral, Andy Way
Given the rise of a new approach to MT, Neural MT (NMT), and its promising performance on different text types, we assess the translation quality it can attain on what is perceived…