34 citations · 68 across the 20 of their papers we have counts for
6 papers · 1 filter
TransQuest: Translation Quality Estimation with Cross-lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
Recent years have seen big advances in the field of sentence-level quality estimation (QE), largely as a result of using neural-based architectures. However, the majority of these…
Fake or Real? A Study of Arabic Satirical Fake News
Hadeel Saadany, Emad Mohamed, Constantin Orasan
One very common type of fake news is satire which comes in a form of a news website or an online platform that parodies reputable real news agencies to create a sarcastic version o…
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
Hadeel Saadany, Constantin Orasan
Since the advent of Neural Machine Translation (NMT) approaches there has been a tremendous improvement in the quality of automatic translation. However, NMT output still lacks acc…
RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
Tharindu Ranasinghe, Alistair Plum, Constantin Orasan +1
This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2. The system classifies definitions at the sentence and token levels. It utilises sta…
TransQuest at WMT2020: Sentence-Level Direct Assessment
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
This paper presents the team TransQuest's participation in Sentence-Level Direct Assessment shared task in WMT 2020. We introduce a simple QE framework based on cross-lingual trans…
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
Matching and retrieving previously translated segments from a Translation Memory is the key functionality in Translation Memories systems. However this matching and retrieving proc…