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. Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs

    Mar 22, 2026Mariela M. Nina, Caio Veloso Costa, Lilian Berton +1Parameter-Efficient Fine-TuningQuestion Answering

  2. Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF

    Mar 22, 2026K. M. Jubair Sami, Dipto Sumit, Ariyan Hossain +1Social Bias in Language ModelsDialect Bias in Language Models

  3. ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks

    Mar 22, 2026Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy NguyenSentence EmbeddingsSupervised Contrastive Learning

  4. MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages

    Mar 21, 2026Anri Lombard, Simbarashe Mawere, Temi Aina +5African Language ProcessingMultilingual Language Models

  5. Curation of a Palaeohispanic Dataset for Machine Learning

    Mar 20, 2026Gonzalo Martínez-Fernández, Jose F Quesada, Agustín Riscos-Núñez +1Low-Resource Language Processing

  6. What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?

    Mar 19, 2026Gagan Bhatia, Ahmad Muhammad Isa, Maxime Peyrard +1Tokenization in Language ModelsTemporal Reasoning in Language Models

  7. DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units

    Mar 19, 2026Maxime Poli, Manel Khentout, Angelo Ortiz Tandazo +3Speech ProcessingSelf-Supervised Speech Representation Learning

  8. CWoMP: Morpheme Representation Learning for Interlinear Glossing

    Mar 18, 2026Morris Alper, Enora Rice, Bhargav Shandilya +2Representation LearningLow-Resource Language Processing

  9. Language on Demand, Knowledge at Core: Composing LLMs with Encoder-Decoder Translation Models for Extensible Multilinguality

    Mar 18, 2026Mengyu Bu, Yang FengMultilingual Language ModelsCross-Lingual Transfer

  10. Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic

    Mar 17, 2026Finnur Ágúst Ingimundarson, Steinunn Rut Friðriksdóttir, Bjarki Ármannsson +2LLM EvaluationBenchmark Validity

  11. SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia

    Mar 17, 2026Ri Chi Ng, Aditi Kumaresan, Yujia Hu +1Hate Speech DetectionLow-Resource Language Processing

  12. Robust Language Identification for Romansh Varieties

    Mar 16, 2026Charlotte Model, Sina Ahmadi, Jannis VamvasLanguage IdentificationLow-Resource Language Processing

  13. SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

    Mar 16, 2026David Števaňák, Marek ŠuppaDocument Information ExtractionLow-Resource Language Processing

  14. SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia

    Mar 16, 2026Pengfei Yue, Xingran Zhao, Juntao Chen +6Multilingual VLM EvaluationDocument Parsing

  15. Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike

    Mar 16, 2026Miriam Winkler, Verena Blaschke, Barbara PlankQuestion AnsweringMultilingual QA

  16. Pretraining and Benchmarking Modern Encoders for Latvian

    Mar 16, 2026Arturs ZnotinsLanguage Model PretrainingLow-Resource Language Processing

  17. Parameter-Efficient Quality Estimation via Frozen Recursive Models

    Mar 15, 2026Umar Abubacar, Roman Bauer, Diptesh KanojiaLow-Resource Language ProcessingMT Evaluation

  18. CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

    Mar 15, 2026Junhang Cheng, Fang Liu, Jia Li +3Code GenerationLLM Code Generation

  19. Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea

    Mar 15, 2026Bri Olewale, Raphael Merx, Ekaterina VylomovaLow-Resource Language Processing

  20. OasisSimp: An Open-source Asian-English Sentence Simplification Dataset

    Mar 14, 2026Hannah Liu, Muxin Tian, Iqra Ali +8Text SimplificationLow-Resource Language Processing

  21. GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages

    Mar 14, 2026Lawrence Adu Gyamfi, Paul Azunre, Stephen Edward Moore +4African Language ProcessingLow-Resource Language Processing

  22. MUNIChus: Multilingual News Image Captioning Benchmark

    Mar 11, 2026Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4Image CaptioningMultilingual VLM Evaluation