Ranathunga SRanasinghe AShamal JDandeniya AGalappaththi RSamaraweera M2025-12-032025-06Ranathunga S, Ranasinghe A, Shamal J, Dandeniya A, Galappaththi R, Samaraweera M. (2025). A multi-way parallel named entity annotated corpus for English, Tamil and Sinhala. Natural Language Processing Journal. 11.2949-7191https://mro.massey.ac.nz/handle/10179/73893This paper presents a multi-way parallel English-Tamil-Sinhala corpus annotated with Named Entities (NEs), where Sinhala and Tamil are low-resource languages. Using pre-trained multilingual Language Models (mLMs), we establish new benchmark Named Entity Recognition (NER) results on this dataset for Sinhala and Tamil. We also carry out a detailed investigation on the NER capabilities of different types of LMs. Finally, we demonstrate the utility of our NER system on a low-resource Neural Machine Translation (NMT) task. Our dataset is publicly released: https://github.com/suralk/multiNER.CC BY 4.0(c) 2025 The Author/shttps://creativecommons.org/licenses/by/4.0/Named entity recognitionPre-trained language modelsLow resource languagesSinhalaTamilLarge language models (LLMs)Journal article10.1016/j.nlp.2025.1001602949-7191journal-article100160S2949719125000366