mlsanityData to 7 Oct 2026

NSINA: A News Corpus for Sinhala

arXiv 2403.16571 ↗First posted 25 Mar 2024cs.CL cs.AI cs.LGcited by 6

Not on the map. Why?

Abstract (arXiv)

The introduction of large language models (LLMs) has advanced natural language processing (NLP), but their effectiveness is largely dependent on pre-training resources. This is especially evident in low-resource languages, such as Sinhala, which face two primary challenges: the lack of substantial training data and limited benchmarking datasets. In response, this study introduces NSINA, a comprehensive news corpus of over 500,000 articles from popular Sinhala news websites, along with three NLP tasks: news media identification, news category prediction, and news headline generation. The release of NSINA aims to provide a solution to challenges in adapting LLMs to Sinhala, offering valuable resources and benchmarks for improving NLP in the Sinhala language. NSINA is the largest news corpus for Sinhala, available up to date.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 22 references that are in the map. First posted on arXiv 25 Mar 2024.

Builds on

13 of 22 references.

References · 13

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  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
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  12. 2020Machine Generation and Detection of Arabic Manipulated and Fake Newscited by 16
1 more
  1. 2022BERTifying Sinhala -- A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classificationcited by 15

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 1.

6 papers.

  1. 2024Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategycited by 7
  2. 2025SinhalaMMLU: A Comprehensive Benchmark for Evaluating Multitask Language Understanding in Sinhalacited by 6
  3. 2024Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)cited by 2
  4. 2025Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Studycited by 2
  5. 2025Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resourcescited by 0
  6. 2026MUNIChus: Multilingual News Image Captioning Benchmarkcited by 0