Low-Resource Language Processing

Overview

Low-resource language processing studies how to build reliable text, speech, and multimodal tools when data, annotation, computing resources, or standard writing conventions are limited. Common approaches include transferring multilingual pretrained models, adapting them with continued pretraining or parameter-efficient fine-tuning, creating synthetic data, and developing language-specific tokenizers, corpora, and tools. Benchmarks for tasks such as translation, speech recognition, information retrieval, reasoning, and cultural understanding increasingly test performance across languages, dialects, scripts, and domains. A central tension is that transfer and synthetic data can reduce development costs, but gains are uneven and depend on data quality, linguistic fit, and evaluation grounded in the language community.

Latest papers

CardsList

567 papers53 papers in the last four weeks, level with the four weeks before. 0.3% of all new papers.

  1. Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography

    Feb 16, 2026Gianluca Vico, Jindřich LibovickýTokenization in Language ModelsLow-Resource Language Processing

  2. Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil

    Feb 16, 2026Sukumar Kishanthan, Kumar Thushalika, Buddhi Jayasekara +1Numerical Reasoning in Language ModelsCross-Lingual Reasoning in Language Models

  3. BETA-Labeling for Multilingual Dataset Construction in Low-Resource IR

    Feb 16, 2026Md. Najib Hasan, Mst. Jannatun Ferdous Rain, Fyad Mohammed +1Low-Resource Language ProcessingLLM-Assisted Annotation

  4. Artificial intelligence is creating a new global linguistic hierarchy

    Feb 12, 2026Giulia Occhini, Kumiko Tanaka-Ishii, Anna Barford +10Low-Resource Language Processing

  5. MasalBench: A Benchmark for Contextual and Cross-Cultural Understanding of Persian Proverbs in LLMs

    Jan 29, 2026Ghazal Kalhor, Behnam BahrakCross-Cultural Language Model EvaluationFigurative Language Understanding

  6. Beyond Transfer Accuracy: Mechanism-Guided Controlled Adaptation for Low-Resource Languages

    Jan 13, 2026Khumaisa Nur'aini, Ayu Purwarianti, Alham Fikri Aji +1Selective Fine-TuningCircuit Discovery

  7. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages

    Jan 10, 2026Hao Yu, Tianyi Xu, Michael A. Hedderich +3Language Model PretrainingMultilingual Language Models

  8. Emotion Recognition in Signers

    Dec 17, 2025Kotaro Funakoshi, Yaoxiong ZhuFacial Expression RecognitionLow-Resource Language Processing

  9. LMSpell: Spell Correction with Pre-Trained Language Models

    Dec 5, 2025Akesh Gunathilake, Nadil Karunarathna, Tharusha Bandaranayake +3Low-Resource Language ProcessingLanguage Model Post-Training

  10. Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+

    Oct 31, 2025Mason Shipton, York Hay Ng, Aditya Khan +4Low-Resource Language ProcessingCross-Lingual Transfer

  11. LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data

    Oct 28, 2025Julian Valline, Cedric Lothritz, Siwen Guo +1LLM Fine-TuningSynthetic Data Generation

  12. Evaluating Large Language Models on Urdu Idioms

    Oct 20, 2025Muhammad Farmal Khan, Mousumi AkterMultilingual Language Model EvaluationLow-Resource Language Processing

  13. MoVoC: Morphology-Aware Subword Construction for Geez Script Languages Corrected version

    Sep 10, 2025Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang NejdlMorphology-Aware TokenizationSubword Tokenization

  14. Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation

    Aug 22, 2025Md Tariquzzaman, Md Farhan Ishmam, Saiyma Sittul Muna +2VLM EvaluationVision-Language Models

  15. Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment

    Aug 6, 2025Aleksander Boruch-Gruszecki, Yangtian Zi, Zixuan Wu +4RL for Code GenerationCode Generation

  16. GHTM: A graph-based hybrid topic modeling approach for Bengali language

    Aug 1, 2025Farhana Haque, Md. Abdur Rahman, Sumon AhmedTopic ModelingLow-Resource Language Processing

  17. ToxSyn-PT: A Synthetic Fine-Grained Dataset of Minority-Targeted Toxic Language in Portuguese

    Jun 11, 2025Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Farber +2Synthetic Data GenerationHate Speech Detection

  18. BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech

    May 18, 2025Riad Hossain, Muhammad Ashad Kabir, Arat Ibne Golam Mowla +2Parkinson's Disease Detection from SpeechSpeech Processing

  19. FLAME: A New Dataset on FLemish Accounts of Momentary Experiences

    Apr 20, 2025Ratna Kandala, Niels Vanhasbroeck, Katie HoemannTopic ModelingLow-Resource Language Processing

  20. Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems

    Oct 17, 2024Dmitrii Popov, Egor Terentev, Danil Serenko +2LLM-Assisted AnnotationLow-Resource Language Processing

  21. Leveraging LLMs for Translating and Classifying Mental Health Data

    Oct 16, 2024Konstantinos Skianis, A. Seza Doğruöz, John PavlopoulosDepression Severity EstimationClinical NLP