1 citations · 1 across the 3 of their papers we have counts for
3 papers
APEX-VW: A Document-Level English-Spanish Post-Editing Dataset in the Healthcare Domain
Marie Escribe, Tharindu Ranasinghe, Amal Haddad Haddad +2
Post-Editing (PE) of Machine Translation (MT) output often involves repeating the same lexical and terminological corrections across many segments, especially in specialised and hi…
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants
Amal Haddad Haddad, Damith Premasiri, Tharindu Ranasinghe +1
The domain of Botany is rich with metaphorical terms. Those terms play an important role in the description and identification of flowers and plants. However, the identification of…
Transformer-based Detection of Multiword Expressions in Flower and Plant Names
Damith Premasiri, Amal Haddad Haddad, Tharindu Ranasinghe +1
Multiword expression (MWE) is a sequence of words which collectively present a meaning which is not derived from its individual words. The task of processing MWEs is crucial in man…