activity
20192025
most citedIntelligent Translation Memory Matching and Retrieval with Sentence Encoders

11 citations · 28 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020

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…

cs.CL2020

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…

cs.CL2020

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…

cs.CL2020

Classifying Referential and Non-referential It Using Gaze

Victoria Yaneva, Le An Ha, Richard Evans +1

When processing a text, humans and machines must disambiguate between different uses of the pronoun it, including non-referential, nominal anaphoric or clause anaphoric ones. In th…

cs.CL2020★ 11 cited

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…