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A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala

arXiv 2412.02056 ↗First posted 3 Dec 2024cs.CLcited by 1

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Abstract (arXiv)

This 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 mLMs. 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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 25 of its 67 references that are in the map. First posted on arXiv 3 Dec 2024.

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25 of 67 references.

References · 25

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13 more
  1. 2022Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP Worldcited by 55
  2. 2019Survey on Publicly Available Sinhala Natural Language Processing Tools and Researchcited by 45
  3. 2020A Set of Recommendations for Assessing Human-Machine Parity in Language Translationcited by 34
  4. 2019NNE: A Dataset for Nested Named Entity Recognition in English Newswirecited by 25
  5. 2020Soft Gazetteers for Low-Resource Named Entity Recognitioncited by 20
  6. 2022MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognitioncited by 19
  7. 2022CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translationcited by 17
  8. 2020Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translationcited by 16
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  10. 2022BERTifying Sinhala -- A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classificationcited by 15
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  12. 2021Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignmentcited by 9
  13. 2014An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013cited by 1

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