Large Language Models for Low-Resource Languages: A Conceptual Framework for an Electronic Explanatory Dictionary of the Tajik Language

arXiv:2608.04186 · cs.CL · Submitted 2026-08-04 · Read on arXiv

cs.CL

Submitted: 2026-08-04

Updated: 2026-09-21

Comments: Preprint

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 24× in this paper · explained in 5 episodes
• Clustering — 17× in this paper · explained in 2 episodes
• Low-Resource Languages — 15× in this paper · explained in 4 episodes
• Tokenization — 12× in this paper · explained in 2 episodes
• Embeddings — 10× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Parameter-Efficient Fine-Tuning — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Perplexity — 4× in this paper · explained in 3 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Analyzer — 3× in this paper · explained in 1 episode
• Catastrophic Forgetting — 3× in this paper · explained in 5 episodes
• Parameter-Efficient Fine-Tuning (PEFT) — 3× in this paper · explained in 4 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Data Sovereignty — 2× in this paper · explained in 2 episodes
• Dictionary Insertion Prompting — 2× in this paper
• Few-Shot Learning — 2× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hybrid Model — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LoRA (Low-Rank Adaptation) — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• TajikNLP: An Open-Source Toolkit for Comprehensive Text Processing of Tajik (Cyrillic Script)
• Benchmarking POS Tagging for the Tajik Language: A Comparative Study of Neural Architectures on the TajPersParallel Corpus
• Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus
• Soro: A Lightweight Foundation Model and Chatbot for Tajik
• A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures
• Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
• How Good are Commercial Large Language Models on African Languages?

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