mlsanityData to 14 Oct 2026

Low-Resource, High-Impact: Building Corpora for Inclusive Language Technologies

arXiv 2512.14576 ↗First posted 16 Dec 2025cs.CL cs.AIcited by 2

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Abstract (arXiv)

This tutorial (https://tum-nlp.github.io/low-resource-tutorial) is designed for NLP practitioners, researchers, and developers working with multilingual and low-resource languages who seek to create more equitable and socially impactful language technologies. Participants will walk away with a practical toolkit for building end-to-end NLP pipelines for underrepresented languages -- from data collection and web crawling to parallel sentence mining, machine translation, and downstream applications such as text classification and multimodal reasoning. The tutorial presents strategies for tackling the challenges of data scarcity and cultural variance, offering hands-on methods and modeling frameworks. We will focus on fair, reproducible, and community-informed development approaches, grounded in real-world scenarios. We will showcase a diverse set of use cases covering over 10 languages from different language families and geopolitical contexts, including both digitally resource-rich and severely underrepresented languages.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 16 Dec 2025.

Builds on

3 of 4 references.

References · 3

  1. 2024Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translationcited by 62
  2. 2025JEEM: Vision-Language Understanding in Four Arabic Dialectscited by 7
  3. 2024Cross-lingual Text Classification Transfer: The Case of Ukrainiancited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpuscited by 1
  2. 2026TajikNLP: An Open-Source Toolkit for Comprehensive Text Processing of Tajik (Cyrillic Script)cited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2022No Language Left Behind: Scaling Human-Centered Machine Translation
  2. 2024Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
  3. 2025Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
  4. 2025Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances
  5. 2025Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation?
  6. 2024Unsupervised Data Validation Methods for Efficient Model Training
  7. 2026Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
  8. 2024Learning-From-Mistakes Prompting for Indigenous Language Translation