• Publications
  • Influence
Neural Machine Translation of Rare Words with Subword Units
Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem. Previous work addresses the translation of out-of-vocabulary words byExpand
  • 2,688
  • 508
  • Open Access
Improving Neural Machine Translation Models with Monolingual Data
Neural Machine Translation (NMT) has obtained state-of-the art performance for several language pairs, while only using parallel data for training. Target-side monolingual data plays an importantExpand
  • 922
  • 256
  • Open Access
Edinburgh Neural Machine Translation Systems for WMT 16
We participated in the WMT 2016 shared news translation task by building neural translation systems for four language pairs, each trained in both directions: English Czech, English German, EnglishExpand
  • 344
  • 84
  • Open Access
Nematus: a Toolkit for Neural Machine Translation
We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performingExpand
  • 297
  • 46
  • Open Access
Findings of the 2013 Workshop on Statistical Machine Translation
We present the results of the WMT13 shared tasks, which included a translation task, a task for run-time estimation of machine translation quality, and an unofficial metrics task. This year, 143Expand
  • 294
  • 34
  • Open Access
Linguistic Input Features Improve Neural Machine Translation
Neural machine translation has recently achieved impressive results, while using little in the way of external linguistic information. In this paper we show that the strong learning capability ofExpand
  • 232
  • 34
  • Open Access
Controlling Politeness in Neural Machine Translation via Side Constraints
Many languages use honorifics to express politeness, social distance, or the relative social status between the speaker and their addressee(s). In machine translation from a language withoutExpand
  • 150
  • 34
  • Open Access
Findings of the 2014 Workshop on Statistical Machine Translation
This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translationExpand
  • 290
  • 30
  • Open Access
Evaluating Discourse Phenomena in Neural Machine Translation
For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context. There has been recent interest in modelling context in neural machineExpand
  • 105
  • 28
  • Open Access
Findings of the 2016 Conference on Machine Translation
This paper presents the results of the WMT16 shared tasks, which included five machine translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three evaluation tasksExpand
  • 350
  • 26
  • Open Access