activity
20202026
most citedA Deep Learning Approach for Ontology Enrichment from Unstructured Text

7 citations · 8 across the 12 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 1 cited

Code-Switching with Word Senses for Pretraining in Neural Machine Translation

Vivek Iyer, Edoardo Barba, Alexandra Birch +2

Lexical ambiguity is a significant and pervasive challenge in Neural Machine Translation (NMT), with many state-of-the-art (SOTA) NMT systems struggling to handle polysemous words…

cs.CL2023

Towards Effective Disambiguation for Machine Translation with Large Language Models

Vivek Iyer, Pinzhen Chen, Alexandra Birch

Resolving semantic ambiguity has long been recognised as a central challenge in the field of Machine Translation. Recent work on benchmarking translation performance on ambiguous s…